5 Fresh Ways To Interact With Your Readers – Writer’s Edit

Reader Interactions

Reader Interactions

The organizing principle of this chapter is "Teachers guide reader-text interactions through instructional strategies that they use and reading guidance. These reader proteins, which are often found in large multi-subunit complexes and in additional chromatin-modifying machines, interact with. Interactions between reader and text: Contributions of cognitive processes, strategy use, and text cohesion to comprehension of expository science text. Reader Interactions

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What is the Left Hand Path LHP [Esoteric Saturdays]

Characterization of the plant homeodomain (PHD) reader family for their histone tail interactions

  • Kanishk Jain1,2,
  • Caroline S. Fraser2,3,
  • Matthew R. Marunde4,
  • Madison M. Parker1,2,
  • Cari Sagum5,
  • Jonathan M. Burg4,
  • Nathan Hall4,
  • Irina K, Reader Interactions. Popova4,
  • Keli L. Rodriguez4,
  • Anup Vaidya4,
  • Krzysztof Krajewski1,
  • Michael-Christopher Keogh4,
  • Mark T. Bedford5 &
  • Brian D. StrahlORCID: orcid.org/0000-0002-4947-62591,2,3

Epigenetics & Chromatinvolume 13, Article number: 3 (2020) Cite this article

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Plant homeodomain (PHD) fingers are central “readers” of histone post-translational modifications (PTMs) Reader Interactions > 100 PHD finger-containing proteins encoded by the human genome. Many of the PHDs studied to date bind to unmodified or Reader Interactions states of histone Reader Interactions lysine 4 (H3K4). Additionally, many of these domains, and the proteins they are contained in, have crucial roles in the regulation of gene expression and cancer development. Despite this, the majority of PHD fingers have gone uncharacterized; thus, our understanding of how these domains contribute to chromatin biology remains incomplete.


We expressed and screened 123 of the annotated human PHD fingers for their histone binding preferences using reader domain microarrays. A subset (31) of these domains showed strong Reader Interactions for the H3 N-terminal tail either unmodified or methylated at H3K4. These H3 readers were further characterized by histone peptide microarrays and/or AlphaScreen to comprehensively define their H3 preferences and PTM cross-talk.


The high-throughput approaches utilized in this study establish a compendium of binding information for the PHD reader family with regard to how they engage histone PTMs and uncover several novel reader domain–histone PTM interactions (i.e., Reader Interactions, PHRF1 and TRIM66). This study highlights the usefulness of high-throughput analyses of histone reader proteins as a means of understanding how chromatin engagement occurs biochemically.


Histone proteins are fundamental to genome organization and packaging, and are chemically modified by a wide range of “writer” or “eraser” enzymes that, Reader Interactions, respectively, install or remove histone post-translational modifications (PTMs) [1, 2]. These PTMs play a central role in chromatin function: some are believed to directly impact chromatin organization through biophysical means, but the vast number likely function through their ability to recruit effector or “reader” domain-containing proteins to chromatin. These reader proteins, which are often found in large multi-subunit complexes and in additional chromatin-modifying machines, Reader Interactions, interact with histone tails and chromatin in various ways that regulate gene transcription and other chromatin functions [2, 3]. The varied and diverse patterns of histone PTMs that exist CnC Generals - Zero Hour crack serial keygen vivo are referred to as the ‘histone code’, which is still poorly understood [2, Reader Interactions PTMs often have either activating or repressive effects on gene transcription depending on the type of PTM (acetylation, methylation, etc.) and the position being modified (H3K4, H3S10, Reader Interactions, etc.). In general, distinct ESET NOD32 Antivirus 2021 Crack & License Key of reader domains bind to specific types of PTMs; for example, bromodomains recognize lysine acetylation [4], Reader Interactions, chromodomains recognize methyl-lysine [5], and the PHD fingers characterized to date generally recognize unmodified or methylated lysine residues [6]. Furthermore, many chromatin-associated proteins contain multiple reader domains, either multiples of the same type [7] or a variety of different domains [8], potentially meaning that the in vivo engagement with chromatin is multivalent. Significantly, increasing evidence shows that dysregulation of the epigenetic machinery, Reader Interactions notably the readers, writers, and erasers of the histone code, is causal for a wide range of human disease, including cancer [9].

Plant homeodomain fingers comprise one of the largest families of reader domains, with over 100 human proteins containing this module [6]. PHD fingers are Zn-coordinating domains that generally recognize unmodified or methylated lysines. To date, the majority of those characterized bind to histone H3 tails either methylated at K4 [7], or unmodified in that position (i.e., KDM5B PHD3 versus KDM5B PHD1 [10, 11] or PHF21A, also known as BHC80 [12]). A smaller number of PHD fingers are reported as readers of H3K9 trimethylation (H3K9me3; e.g., Reader Interactions, CHD4) [13, 14] and H3K36me3 (e.g., budding yeast Nto1) [15]. Intriguingly, the dual PHD finger region of DPF3b has Reader Interactions reported as a reader of H3K14ac [16], while PHD6 of MLL4 has been reported to recognize H4K16ac [17]. Additionally, a number of these PHD fingers occur in tandem (e.g., MLL1-4 [7] and PZP-containing proteins [18, 19]) or next to additional reader domain types (e.g., bromodomains and chromodomains) [20,21,22], suggesting combinatorial interaction capabilities.

Despite great progress in uncovering the role of a subset of PHD fingers, many (over 100) of the annotated domain family remain uncharacterized, Reader Interactions. In this report, we set out to close the gap in our understanding of this reader domain class. Using a combination of complementary approaches (reader domain microarrays, peptide microarrays, pulldowns, and AlphaScreen peptide assays), we show (31/123) of the PHD-containing query proteins to bind histone H3 N-terminal peptides, with the majority of these preferring H3K4me3 over unmodified H3K4. Furthermore, a number of unreported histone PTM–PHD protein interactions were uncovered, with the PHD regions of PHRF1 and TRIM66 binding preferentially to an unmodified H3 N-terminal tail peptide. Given that many of these PHD fingers are mutated in diseases such as breast cancer and leukemia [7, 20,21,22,23,24], these findings enhance our overall understanding of PHD reader–histone interactions and should serve as a resource and platform for Reader Interactions studies.


Analysis of the PHD finger proteome via protein domain microarrays

To define the histone binding preferences of the PHD finger proteome, we expressed and purified 123 annotated human PHD-containing domains as GST-tagged recombinant fusions from E. coli. The recombinant proteins consisted of either PHD fingers in isolation, or as tandem domains if a given PHD finger was located adjacent to another reader domain (e.g., one or more PHD fingers, Reader Interactions, Tudor, chromo and/or bromodomains) (Additional file 1: Table S1). These GST fusions were printed in duplicate on nitrocellulose-coated microarray slides and probed with biotinylated peptides that represented the N-termini of H3, H4, Reader Interactions, H2A or H2B (Fig. 1a and Additional file 2: Figure S1). As the majority of PHD readers thus far characterized are H3K4me0/3 readers [6], we included additional peptides (H3K4 as either mono- di- or trimethylated) to further determine any H3K4 methyl preference (Additional file 2: Figure S2 and Fig. 1b). As a control, we also probed these microarrays with an α-Tubulin peptide (a.a. 30–50) that would not be predicted to interact with PHD fingers (Additional file 2: Figure S1). As in Fig. 1a, b, 31 of the 123 PHD-containing fusions showed positive binding to the H3 N-terminus, Reader Interactions, with the majority of these interactions showing preference for trimethylated H3K4. In contrast, the H2A, H2B, H4, and tubulin peptides showed little to no positive interactions, suggesting that the PHD finger family broadly prefers the histone H3 tail (Additional file 2: Figure S1). We note that the absence of binding in these experiments does not rule out the possibility of PHD-finger:histone PTM recognition under different hybridization conditions. We also cannot exclude the possibility that some PHD fingers might not be functionally active on the microarrays (perhaps due to misfolding or the lack of Reader Interactions important adjacent region).

PHD domain array identifies 31 H3-interacting proteins. a PHD finger domain microarray probed with an unmodified H3 N-terminal peptide (1–20) (see “Methods”). Each positive binding interaction Reader Interactions as a green circle, with each PHD protein in the array spotted in technical duplicate (indicated by connecting white lines). a PHD finger domain array probed with an H3 (1–20) peptide trimethylated at Reader Interactions K4 (K4me3), Reader Interactions. c The 31 H3-interacting proteins are listed by their preference for binding H3 (1–20) K4me3 or K4me0. Each protein listed corresponds to the numbers in a, b. TTP Tandem Tudor domain + PHD, PPCC Dual PHD + Dual Chromodomain, PCC PHD + Dual Chromodomain, CW CW-type Zn-finger, PB PHD + Bromodomain, Reader Interactions, PPC2W2 Dual PHD + C2W2-type Zn-finger, SPB SAND + PHD + Bromodomain; domains not indicated, one PHD finger. For the entire list of proteins used and the microarray map, see Additional file 1: Table S1

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Based on the above, we Reader Interactions able to classify the [PHD–H3 tail] Reader Interactions into three groups, namely PHD fingers that: (1) bound specifically with methylated H3K4; (2) interacted only with unmethylated H3K4; or (3) bound without preference to the H3K4 methylated state, Reader Interactions. Many of the PHD fingers found to only bind H3K4 methylation have previously been described and include the well characterized domains from the ING and PHF protein families [6, 24], Reader Interactions. The PHD finger of MLL5, a member of the MLL/KMT2 family [25,26,27,28], Reader Interactions, showed strong preference for H3K4me2 and H3K4me3. This finding adds to the relatively small number of MLL5-histone PTM observations reported to date [25]. Of the PHD fingers that bound to H3K4 methylation specifically, we observed that H3K4me3 or H3K4me2 were largely recognized equivalently and these domains did not detect Reader Interactions to the same degree (Additional file 2: Reader Interactions S2)—a result in agreement with other reports showing H3K4me binding occurs largely on higher methylated states [6]. Again, as with the H3K4me3 interacting PHDs, our findings for proteins such as KDM5A [third PHD finger (PHD3)] and KDM5B [third PHD finger (PHD3)] are consistent with their current classification as H3K4me3 binders [10, 11]. In contrast to H3K4me2/3 binding, a smaller number of PHD fingers [e.g., PHD1 from KDM5A and KDM5B, PHF21A, Reader Interactions, AIRE (PP), and TRIM66 (PB)] showed preference for the unmethylated H3K4 state (Fig. 1a, c). Furthermore, three PHD fingers we tested showed no preference between the H3K4me0 and H3K4me3 peptides: PHRF1 (RP), CHD5 (PCC), and KDM5B (PHD3) (Fig. 1). Collectively, these experiments identified 31 PHD-containing reader domains that showed positive interaction with the H3 N-terminus. While a majority of these reader domains preferentially interacted with H3K4me3 (18 out of 31) or H3K4me0 (10 out of 31), three showed no preference for the state of modification at K4. Importantly, Reader Interactions, these analyses uncovered several reader:histone interactions for poorly characterized PHDs (i.e., TRIM66, PHRF1, and SP140L): such insight could provide new avenues of investigation to these disease-relevant proteins [29,30,31,32].

Further characterization of H3-reading PHD fingers by peptide microarrays

To more comprehensively define the histone interactions of the 31 PHD readers identified from the domain microarray analyses, we probed each Reader Interactions an alternate microarray platform containing a library of 293 synthetic histone peptides with single or combinatorial PTMs [33] (Additional file 2: Figure S4 and Additional file 3: Table S2). All screening results can be found in Additional file 3: Table S2, but for brevity, findings pertaining to peptides that contain K4 and K9 modifications as well as neighboring phosphorylation sites that impinge on the observed binding by reader Win 11 Download Links are displayed in the form of a normalized heatmap (Fig. 2), Reader Interactions. In general, the 31 PHD Reader Interactions were confirmed to associate with the H3 tail with the same H3K4 methyl preferences as in the domain microarrays (Fig. 2; Additional file 3: Table S2). Reader Interactions, the MLL5 PHD finger displays a strong preference for H3K4me3 over the un- mono- or di-methylated H3K4 peptides (Fig. 2), and further, Reader Interactions, over all other histone peptides on the array (Additional file 3: Table S2), consistent with results from the domain array (Fig. 1). Since CHD4, a protein annotated to recognize H3K9me3 [13, 14], was a positive binder in this assay, we compared its binding to H3K9me3 or H3K4 methyl peptides along with their unmodified counterparts at each position (K4me0/K9me0). The Reader Interactions (PPCC) fusion bound H3 N-terminal Reader Interactions more strongly when H3K4 was unmodified and dually acetylated at K9 Download The House of the Dead 2 Full Crack K18 versus when H3K4 is methylated in an identically acetylated context (Fig. 2); additionally, there was no difference in binding to the H3K4me0 peptide versus the H3K9me3 Reader Interactions. Interestingly, there also seems to be increased binding with CHD4 (PPCC) to the H3 K9ac peptide, potentially Reader Interactions to the “surface effect” (described in detail below). In addition, we confirmed the newly identified interactions observed with the domain microarrays for PHRF1 Tag: mixcraft 8 pro download TRIM66 (Fig. 2).

A majority of PHD-containing proteins identified in the domain array are H3 K4me3 readers. The heatmap represents relative binding of the indicated H3 N-terminal peptides (left side) to the PHD-containing GST-tagged proteins (top). Binding strength is shown as a color gradient from red to blue (stronger to Reader Interactions. Most of the 31 PHD proteins preferentially recognize H3K4me3 when residues K9 and K18 are acetylated. Array signals (n = 4) were normalized individually for each protein to the highest signal for each respective array; thus, comparisons should only be made between binding strengths of different peptides for the same protein. TTP Tandem Tudor domain + PHD, Reader Interactions, PPCC Dual PHD + Dual Chromodomain, PCC PHD + Dual Chromodomain, CW CW-type Zn-finger, PB PHD + Bromodomain, PPC2W2 Dual PHD + C2W2-type Zn-finger, SPB SAND + PHD + Bromodomain; domains not indicated, one PHD finger. For full construct information, see Additional file 1: Table S1 and Additional file 2: Figure S3. For full peptide microarray data, see Additional file 3: Table S2

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While findings between the domain microarrays and peptide microarrays largely agreed, Reader Interactions, there were some interesting differences. For example, PHRF1 (RP) showed no preference for the H3K4 methyl state on the domain array but strong preference for H3K4me0 on peptide microarray. Furthermore, KDM5B (PHD3), is reported to bind H3K4me3 [11], and showed such a preference on peptide microarrays but not on domain microarrays (Figs. 1 and 2). It should be noted that the comparison made here is between the H3K4me3 + K9ac + K18ac and the H3K4me0 + K9ac + K18ac peptides. Due to the limited binding, if any, observed by the non-acetylated versions Reader Interactions these peptides, it is difficult to assess the binding preference displayed by KDM5B (PHD3) with this comparison. Of note, certain PHD readers [i.e., DIDO1 and DPF2 (PPC2W2)] also showed some interaction with a number of H4 N-terminal peptides (Additional file 3: Table S2), Reader Interactions, consistent with published reports [33, 34].

During the course of this study, we observed that domain binding to H3 peptides tended to be enhanced when neighboring lysine residues were additionally acetylated (e.g., [K9ac + K18ac] for H3K4me0 or H3K4me Reader Interactions (Fig. 2), Reader Interactions. While at first approximation it might appear that these readers have an enhanced affinity for Reader Interactions states that neighbor H3K4, we note that solution-based peptide pulldown or AlphaScreen (see below) assays with several of these readers (i.e., KDM7A that binds H3K4me3 and KDM5B (PHD1) that reads H3K4me0) did not support this idea (Additional file 2: Figure S5 and Fig. 3i). We surmise that the enhanced binding caused Reader Interactions poly-acetylation is a property of the charged surface of the streptavidin-coated glass slides: Reader Interactions modified with bulky and neutral acetyl groups the highly charged histone N-terminal tail peptides Camtasia Studio crack serial keygen more accessible to reader domains.

dCypher histone peptide-binding Windows 10 All editions crack serial keygen define the PTM recognition preference of PHD proteins with high sensitivity. ah Binding curves to determine optimal reader protein concentration for full peptide library screening on the dCypher® AlphaScreen® platform (see “Methods”). X-axes are log(protein concentration (M)) at constant peptide concentration (100 nM); Y-axes are AlphaScreen counts, representing relative strength of binding (n = 2; error bars are S.D.), Reader Interactions. i Heat map represents relative binding to H3 N-terminal peptides (left) by PHD-containing GST-tagged proteins (top) using the dCypher AlphaScreen platform. Protein concentrations can be found in Additional file 5: Table S4. Binding strength is indicated by color gradient from green to yellow (stronger to weaker). The asterisk (*) by MLL5 signifies its general preference for H3K4 methylation. Reader Interactions counts (n = 2) were normalized individually for each protein to the highest signal for each respective assay. For full dCypher peptide screen data, see Additional file 4: Table S3

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Quantitative assessment of poorly defined PHD readers by the AlphaScreen dCypher assay

We next employed a highly sensitive proximity-based AlphaScreen histone peptide assay (dCypher®) to provide a Reader Interactions and orthogonal approach to analyzing the histone binding preferences for a subset of the 31 PHD proteins with respect to various histone tail PTMs. In this assay, biotinylated peptides are bound to streptavidin “donor” beads and the GST-tagged reader domains bound to Glutathione “acceptor” beads. The donor beads are excited by 680 nm light, releasing a singlet oxygen which causes light emission (520–570 nm) in proximal acceptor beads (within 200 nm); emission intensity is then correlated to binding strength [35]. For further examination with this more sensitive approach we chose the PHD fingers with positive binding data from the domain and peptide microarrays that were less characterized in the literature [i.e., MLL5, PHRF1 (RP), and TRIM66 (PB)], or those that displayed weak interactions on the domain and/or Reader Interactions microarrays [i.e., CHD4 (PPCC) and CHD5 (PPCC)]. Additionally, Reader Interactions, we examined several well characterized PHD–PTM interactors [DIDO1, KDM7A, and DPF2 (PPC2W2)] for positive controls and to provide a benchmark, Reader Interactions. Initial binding assays were conducted for each fusion protein using three peptides [H3 (1–20) with K4me0, H3K4me3 or H3K9me3] to determine the optimal reader domain concentration for full peptide library studies (Fig. 3a–h; Additional file 4: Reader Interactions S3 and Additional file 5: Table S4). This is an important first step as signal often declined after query protein saturation (the ‘hook point’, caused by excess free query competing with bead bound).

Once the optimal protein 68000 Integrated Development Environment 2 crack serial keygen ranges for each of the eight readers were determined, we conducted the full dCypher peptide screen (293 Reader Interactions peptides) (Fig. 3i; Additional file 4: Table S3). In agreement with our previous findings, the dCypher peptide assay demonstrated KDM7A to be a reader of H3K4me3. Furthermore, TRIM66 (PB) showed a preference for H3K4me0 and me1, consistent with findings from the peptide microarrays. For CHD4 (PPCC), the dCypher approach showed a clearer specificity for the H3K4me0 peptide over the methylated species in comparison to the peptide microarray results (Fig. 3i versus Fig. 2). In the case of CHD5 (PPCC), the peptide microarray indicated this protein to be insensitive to the methylation status at H3K4 (Fig. 2), but the dCypher assay identifies a preference for H3K4me0/1 (Fig. 3i), consistent with the domain microarray (Fig. 1a, c).

Consistent with the results from the domain and peptide microarrays, dCypher assays confirmed that the PHD finger of DIDO1 and MLL5 recognized the higher methyl states of K4 (me3/2), but also identified interaction of these domains with the H3K4me1 peptide. Interestingly, the four H3K4me0 readers analyzed—CHD4 (PPCC), DPF2 (PPC2W2), TRIM66 (PB), CHD5 (PPCC)—also showed the ability to bind to the peptides containing H3K9me3; this may be due to H3K4me0 in the H3K9me3 peptide. However, CHD4 (PPCC) and TRIM66 (PB) showed stronger interaction with H3K9me3 compared with the unmodified peptide over Reader Interactions range of protein concentration (Fig. 3d, f). We note that while the initial protein concentration optimizations in Reader Interactions were performed over a range of protein concentrations, the full peptide screen (Additional file 5: Table S4; summarized in panel Fig. 3i) was performed at a single protein concentration. When presented with the [H3K9me3 + S10p] peptide, four out of five of the H3K4me0 readers lose binding capacity, suggesting that these readers are sensitive towards the bulky negative phosphate group at S10; this phenomenon is also observed with the H3S10p peptide alone (Additional file 4: Table S3). To our knowledge, Reader Interactions, this would be the first report of a H3 tail binder outside the H3K9 position to be impacted by S10 phosphorylation, suggesting the phospho-methyl switch may function more broadly than previously thought. Intriguingly, PHRF1 (RP) binding specificity at 15 nM showed more limited interactions to Reader Interactions and H3K9me3 peptides (Fig. 3i), which will be discussed further below. Finally we note that the shift for poly-acetyl peptides seen in the peptide microarrays (reflecting a possible “surface effect”; Fig. 2) is not observed in the dCypher screen (Fig. 3i) which more closely resembles the peptide pulldown assays (Additional file Reader Interactions Figure S5).


In the epigenetic landscape, histone PTMs can impact chromatin Reader Interactions through their ability to recruit effector or “reader” domain-containing proteins. These reader proteins, which are also found in large multi-subunit chromatin-modifying machines, interact with histones and chromatin in various ways that regulate processes from gene transcription to chromosome segregation at mitosis [2]. Given that many of these reader proteins are widely dysregulated in human disease, understanding their histone binding preferences and modes of multivalent interactions is vital [36]. In this study, Reader Interactions, we screened 123 PHDs (singly and in tandem when next to another reader domain) against the core histone N-terminal tails to dissect the binding preferences for this poorly understood reader domain family. With over 100 PDHs represented on our domain microarrays, we determined that the family strongly prefers the histone H3 tail. Furthermore, the majority of the domains that displayed binding preferred the Microsoft Windows 10 Professional crack serial keygen orders of H3K4 Reader Interactions, with two subsets showing either a preference for H3K4me0, or no preference to the H3K4 methyl state.

Our findings from domain and peptide microarray confirm the reported binding preferences of many PHD proteins such as those of the ING and PHF families [6, 24]. Additionally, the PHD finger from MLL5 was shown to robustly bind peptides containing each methyl state at H3K4 (me1-2-3) on the domain microarray and dCypher screen, while the peptide microarrays suggest MLL5 is a specific reader for H3K4me3. Intriguingly, Reader Interactions, we note that previous studies have found discrepancies in whether the PHD finger of MLL5 is a H3K4me3 or H3K4me2 reader [25, 26]. We surmise that the basis of this difference may be due to the Reader Interactions sensitivity of the various assays employed, which also may account for different Reader Interactions in the literature. Nonetheless, our analyses provide strong support for MLL5 as a binder of H3K4 methylation on peptides. While recent work has suggested the disease relevance of MLL5 [26], few studies have characterized its histone PTM binding preferences and whether such interaction contributes to its normal or disease functions [25]. The domain microarrays also identified two poorly characterized proteins—TRIM66 and PHRF1—as readers of the unmodified Reader Interactions tail. Both proteins are E3 ligases that contain a PHD finger, but whose histone binding capabilities have not been well documented [29,30,31]. How these histone interactions contribute to the function of these ligases is Reader Interactions unknown but will Reader Interactions interesting to determine in future studies.

While our domain microarrays revealed 31 out of 123 tested PHD proteins to be binders of the H3 N-terminus (Fig. 1 and Additional file 1: Figures S1, S2), this does not preclude the potential for other PHD fingers to bind under alternate hybridization conditions or to unrepresented targets. Reader domain–histone PTM interactions are multifaceted, and while the results of this study’s domain array do confirm published observations as well as revealing new and interesting binding preferences, we point out that they are not meant to represent an exhaustive list of PHD-mediated interactions but rather to serve as a community resource.

Although domain microarrays are useful in probing many domains in high-throughput, they are limited by the ability to probe with one peptide Microsoft Office 2013 Product Key & Crack Full Free Download interest at a time. To further define the histone PTM landscape to which the subset of 31 PHD proteins identified in the domain microarray might bind, we employed the opposite approach of analyzing each individual domain against a microarray containing ~ 300 singly CAMTASIA 8 [May 2020] crack serial keygen combinatorially modified histone peptides (Fig. 2; Additional file 3: Table S2). Through this approach, we were able to confirm many of the interactions observed on the domain microarray with respect to the H3K4me0/1/2/3 peptides. Significantly, the peptide microarray showed that PHRF1 (RP) Reader Interactions bound H3K4me0 over K4me, whereas it had no preference on the domain array—which may be explained by the fact that proteins and peptide Reader Interactions on the domain microarrays are high, and thus may capture weak binding events that may not be observed on other platforms.

Despite the obvious potential of peptide microarrays, it would be remiss not to note possible limitations of the platform. The dynamic range of detected interactions is narrow, and from extensive experience, we are only able to characterize domain–peptide interactions on a four-point scale (very strong, strong, weak, or not detected). In addition, these interactions do not represent values that can be translated into binding affinities. Furthermore, comparing values between different probed arrays is also challenging given the lack of a platform control that can be used to normalize signals between arrays, Reader Interactions. We have also identified potential biophysical artifacts of the platform: we confirmed with these arrays that domains interacting with the H3 N-terminus are influenced by the neighboring acetylation status—a result observed in Reader Interactions publications with PHD readers using these or similar microarrays [37, 38]. However, Reader Interactions impact of H3 acetylation on reader domain binding in the platform context appear to be indirect, as the solution-based binding reactions conclusively show that PHD fingers do not prefer H3K4me0-3 in the context of neighboring acetylation. Rather, it appears that streptavidin-coated slides may carry some amount of negative charge that binds the positively charged histone Data Science Archives - Kali Software Crack except when this is neutralized (e.g., by acetylation) and thus released from the surface. This “surface effect” shifts the H3 N-terminal binding preferences for many reader proteins towards acetylated peptides, but it is clear that the binding preferences for PHD fingers are primarily driven by direct interactions towards H3K4 (∓ methylation), Reader Interactions. Although this is a technical challenge, it does not preclude the use of peptide microarrays as the end user can be aware of the role of neighboring acetylation and how to put such results in context.

In contrast to the histone peptide microarrays, the dCypher AlphaScreen histone Reader Interactions assay has recently emerged as a highly sensitive and robust technique in gauging the binding interactions between reader domains and histone PTMs [35]. Furthermore, this method allows for the thorough optimization of reaction conditions in terms of buffers, protein/peptide/salt concentration, and cofactor/competitor additives to enable the study of otherwise poorly behaved proteins of interest. Given the advantages of this platform, we used the dCypher assay to first optimize the binding conditions for PHD fingers, Reader Interactions, and then proceeded to a variety of the PHD fusions that showed low/weak binding or novel histone PTM interactions on the microarrays. The dCypher approach is sensitive and benefits from an initial optimization Reader Interactions for each protein (see Fig. 3a–h) to find the optimal concentration needed in the assay (see Fig. 3i). Using this approach, we were able to confirm that several poorly characterized proteins including TRIM66 are indeed robust readers of H3K4me0 peptides. Intriguingly, the highly sensitive nature of the dCypher assay allowed comparison of peptide-binding signal at low versus high protein concentrations, which revealed that PHRF1 had a distinct binding preference for the H3K9me3 peptide over the H3K4me0 peptide. Importantly, the domain and peptide microarrays rely on micromolar reader domain concentrations, while the dCypher assay can reliably measure binding signal with proteins in the picomolar range. Thus, the dCypher screen revealed the ability of some domains to have distinct preferences at different concentrations that could not be determined from Reader Interactions other approaches, Reader Interactions. Whether such distinct histone binding preferences in the context of Reader Interactions peptides are physiologically relevant and could effectively represent the local concentration of particular reader domain on chromatin is currently unknown but is interesting to consider.


In this report, we have employed multiple high-throughput methods such as domain and peptide microarrays, as well as the proximity-based dCypher peptide screen Reader Interactions assemble a large dataset describing histone PTM binding preferences for PHDs, starting from a broad analysis Reader Interactions the entire family narrowing down to 31 histone H3-interacting readers. While we used the domain microarrays as an initial guide for which proteins to employ in further characterizations, we expect that further exploration of the remaining readers on this microarray platform will uncover additional interactions when binding conditions are further explored (e.g., the PHD domains of UHRF1/2 that were negative in the assays but reported to also bind H3 [39, 40]). Assay development for studying chromatin-interacting proteins has been on the rise in the last decade and we believe that it will be necessary to Reader Interactions how PHD readers interact with histone PTMs in a nucleosomal context alongside peptides to better replicate physiological conditions. Further, Reader Interactions, while the bulk of literature and indeed the focus of this study concerning PHD proteins has focused on their interactions with histones, the possibility of these readers binding non-histone biomolecules is intriguing and merits further study. Taken together, Reader Interactions, we expect our findings to serve as a resource for the chromatin community and to provide a framework for future studies regarding plant homeodomain proteins.


Protein domain array

The protein domain microarray was designed to include 123 GST-tagged PHD-domain containing recombinant proteins. Protein domain microarray development and probing was as previously [41,42,43]. Briefly, Reader Interactions, recombinant proteins were synthesized and cloned into pGEX-4T-1 vector by Biomatik Corporation. These GST-PHD readers were subsequently expressed, purified, and spotted in duplicate onto nitrocellulose-coated glass slides (Oncyte Avid slides, Grace Bio-Labs) using a pin Reader Interactions (Aushon 2470, Aushon). For probing, microarray slides were blocked with 3% milk, 3% bovine serum albumin, 0.1% Tween 20 in PBS, Reader Interactions. Biotinylated peptides were pre-labeled Reader Interactions streptavidin-Cy3 fluorophore (GE Healthcare) and incubated with the blocked array slides. Slides were then washed with PBST and allowed to air dry. Fluorescent interactions were visualized using a GenePix 4200A Microarray Scanner (Molecular Devices).

Protein purification, histone peptide microarrays, and peptide pulldown assays

The 31 GST-tagged PHD readers identified in the PHD finger domain array were expressed and purified as previously [33]. Histone peptide arrays and peptide pulldown assays were conducted as recently described Reader Interactions, the optimized protocol from Petell et al. for the former) [33].

dCypher Alphascreen peptide screen assay

The dCypher peptide screen assay was performed as previously described [35]. Briefly, 5 μL of GST-tagged reader domains (optimal protein concentration for library screening determined by initial binding curves to candidate Reader Interactions were incubated with 5 μL of 400 nM (100 nM Final) biotinylated histone peptides (EpiCypher) for 30 min at 23 °C in 1× AlphaLISA Epigenetics buffer + epigenetics buffer supplement (PerkinElmer, AL1008) in a 384-well plate. A 10 μL mix of 5 µg/mL (2.5 μg/mL final) glutathione Acceptor beads (PerkinElmer, AL109M) and 10 μg/mL (5 μg/mL final) streptavidin Donor beads (PerkinElmer, 6760002) was prepared in 1× [Epigenetics buffer + supplement] and added to each well. Plates were incubated at 23 °C in subdued lighting for 60 min and AlphaLISA signal measured on a PerkinElmer 2104 EnVision (680 nm laser excitation, 570 nm emission filter ± 50 nm bandwidth).

Availability of data and materials

The datasets used and/or analyzed during this study are included as additional files. All plasmids are available from the corresponding authors on request.


plant homeodomain

post-translational modifications

Tandem Tudor Reader Interactions PHD + Dual Chromodomain

PHD + Dual Chromodomain

CW-type Zn-finger

PHD + Bromodomain

Dual PHD + C2W2-type Zn-finger

SAND + PHD + Bromodomain


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Источник: Reader Interactions

Gone are the days where authors were considered distant, untouchable, borderline mythical creatures by their readers. Thanks to the rise of the online author platform, these days authors – especially indie authors – are interacting directly with readers more than ever before.

Whether it’s through social media, blogs or newsletters, there are plenty of ways to engage with your readership. But beyond the standard Facebook post or blog update, what are some new and interesting ways you can interact with fans of your work?

Let’s take a look at five fresh Reader Interactions. Instagram Stories

The introduction of Instagram Stories in 2016 opened up the platform to a whole new range of uses – many of which are directly interactive.

If you’re unfamiliar with the feature, Stories allow users to post photos and videos that disappear after 24 hours, in a separate location from the standard Instagram feed. These temporary posts can be adorned with text, GIFs, hashtags and interactive ‘stickers’.

So how can indie authors use Instagram Stories to interact with readers?

There are several functions within Stories that can be used to invite direct follower engagement. Give the following a try…


Instagram rolled out a ‘Questions’ feature for Stories in July 2018. It involves adding a GetdataBack 4.33 crack serial keygen to your Story that asks a question or provides a prompt to which followers can respond directly.

This can be a fun way to host an author Q&A, Reader Interactions. Simply post a Story with a Questions sticker that invites your audience to respond with questions they’d like to ask.

If you want to narrow down the potential questions you’ll be asked, make sure to specify the kinds of questions you’re looking for – ones about craft, upcoming books, your writing Reader Interactions etc.

You can then view the responses from followers and tap each XArp Professional v2.2.2 crack serial keygen you want to answer to create a new Story with the question and your response.



Introduced in 2017, the ‘Polls’ feature enables users to post a Story with a ‘Poll’ sticker attached. The sticker can be customised with your question and choice of voting options, and followers can cast their votes and see real-time results.

Indie authors can use this feature in any number of ways. Ask for your followers’ input on anything from which of your latest book’s characters is their favourite, to what sort of beverage you should have to accompany a writing session!

See more options for seeking reader input in point 5 below.

2. Instagram and Facebook Live

We covered vlogging in our post on content ideas for your author platform, Reader Interactions, but have you ever considered streaming a live video for your followers on social media?

Both Facebook and Instagram offer live video options, giving you the opportunity to connect directly with your audience in real time.

Facebook Live videos appear in the main newsfeed, allowing viewers to share their reactions (using the buttons for ‘like’, ‘love’, ‘haha’ etc.) and add comments as they watch. After the live stream ends, the video will be published to your page so that those who missed it can watch.


Similarly, Instagram Live videos enable viewers to add live comments. Live videos appear in the same section Reader Interactions Stories above the regular Instagram feed. Like Stories, live videos on Instagram are ephemeral – once they’ve finished streaming, they disappear. However, you can share a replay of a live video directly to your Stories for those who might have missed it.

So how can indie authors best use live video streaming to connect with readers?

Here are a few ideas…

  • Q&A session, where readers comment with their questions and you answer them in real-time on the video
  • Cover or title reveal for your next book
  • Live unboxing of first print copies of a new book
  • Live stream of an event such as a book launch
  • Live writing session snippet (keep this one short, and beware of revealing spoilers if you’re working on your next book in the video!)

3. Goodreads ‘Ask the Author’

We’ve talked about why indie authors should use Goodreads, but we thought it was worth mentioning the site’s ‘Ask the Author‘ function again here.

To feature an ‘Ask the Author’ box after your Reader Interactions on your author page, make sure the switch in the corresponding section of your Author Dashboard is set to ‘On’. You can also add a personal message to be displayed above the question box.

Through this function, Goodreads users can submit their question and you can choose which ones you’d like to answer. Questions from readers will only be visible to you until you choose to answer them; all answered questions will then be displayed for anyone who visits your page to see.


This function is a great way to engage with readers who want to know more about you and your work. Your Goodreads page is often one of the first places potential new readers will go to check you out, so they’ll automatically feel they know you a little better after reading some of your responses.

And don’t worry – questions and answers can be marked with spoiler warnings, saving readers new to your work from having it spoiled!

4. Reddit ‘Ask Me Anything’

Another popular platform for indie author Q&As is Reddit, with its ‘Ask Me Anything’ (AMA) format.

For those unfamiliar with Reddit, it’s a forum/discussion-style site, made up of various ‘subreddits’ dedicated to pretty much any topic you can think of.

A Reddit AMA is an opportunity for authors to open themselves up to questions from readers, answer them, Reader Interactions, and generate discussions. Questions can be ‘upvoted’ by users, and the posts with the most upvotes will give you a good Reader Interactions of the things readers really want to know!

As well as allowing you to chat directly with readers, an AMA brings readers together and sparks discussions between them, which is a great way to create a real community feel among your readers.


To host an Reader Interactions, you’ll first need to create a Reddit user account. Anyone can create an AMA thread at any time, but if you really want to do it right, contact one of the moderators of the subreddit you’ve chosen for Reader Interactions AMA.

Chat with them about scheduling the AMA in advance. This has the advantage of placing you on the ‘Upcoming AMAs’ sidebar of the subreddit, which will generate additional interest in the time leading up to your AMA.

Speaking of subreddits – it’s important to make sure you choose the most appropriate one for your AMA. r/AMA and r/IAmA, as the Reader Interactions suggest, are general AMA subreddits; you can Reader Interactions yours here, but be aware that hundreds of others will be doing @Spider 1.18 crack serial keygen same, and yours might not be seen here by the people you’re targeting.

A book-related subreddit like r/Books, or better yet, one specific to your genre (e.g. r/Fantasy), Reader Interactions a great choice for an indie author AMA.

5. Ask for input

For any reader, being asked for their input by an author whose work they love is an exciting thing.

We’re not talking about book reviews here – that’s a different side of the author/reader relationship. The kind of input we’re talking about here isn’t necessarily direct feedback on your books, but rather, other aspects of your author platform and brand.


Reaching out to your readers to ask for their input through a poll, a social media post or an invitation to hit ‘reply’ on an issue of your author newsletter can help you connect with Reader Interactions on a new level.

Some things Reader Interactions might like to encourage reader input on include:

  • What topics they’d like to see more of on your blog or in your newsletter
  • What they enjoy seeing most CCleaner Pro 5.85 Crack With License Key 2021 Free Download your social channels – writerly or personal content? Photos of your pets or of your writing space?
  • Which title they like best for your next book if you’re struggling between options
  • What they’d like to see in reader magnets or Patreon rewards such as prequel stories – e.g. a vote on which character you should base your next prequel Reader Interactions short story on


We hope this has given you some ideas on how to interact with your readers in fresh new ways!

If you’re looking for a way to involve a few dedicated readers even more directly with you and your books, why not check out our rundown of how to put together an indie author street team?

Источник: [https://torrent-igruha.org/3551-portal.html]

Soundtoys Crack 5.2 Mac & Win Full Version Reader-Text Interactions: How Differential Text and Question Types Influence Cognitive Skills Needed for Reading Comprehension

Current research has shown that comprehension can vary based on text and question types, and that readers' word recognition and background knowledge may account for these differences. Other reader characteristics such as semantic and syntactic awareness, inferencing, planning/organizing have also all been linked to reading comprehension, but have not been examined with regard to specific text and question types. The aim of this study was to explore the relationships between reader characteristics, text types, and question types, in children aged 10-14. We sought to compare children's performance when comprehending narrative, expository, and functional text, as well as to explore differences between children's performance on comprehension questions that assess their literal or inferential comprehension of a passage. To examine such differences, we analyzed the degree to which distinct cognitive skills (semantic and syntactic awareness, inferencing, Reader Interactions, planning/organizing) contribute to performance on varying types of texts and questions. This study found main effects of text and question types, as well as an interaction in which relations between question types varied between text types. Analyses indicated that higher order cognitive skills, including the ability to make inferences and to plan and organize information, contribute to comprehension of more complex text (e.g., expository vs. narrative) and question types (e.g., inferential vs. literal), and therefore are important components of reading for later elementary and middle school students. These findings suggest that developing these skills in early elementary school may better equip students for comprehending the texts they will encounter in higher grades.

Источник: [https://torrent-igruha.org/3551-portal.html]

How Much Should Authors Interact with Readers?

"There are as many viewpoints in their world as there are points from which to assume a view."

“There are as many viewpoints in this world as there are points from which to view.”

This new age of social media makes it easier than ever for readers and writers to interact. Whether via reviews posted online, comments on a blog, Reader Interactions, forum discussions, Facebook or twitter, authors now have the opportunity to engage with their readers via multiple direct lines of communication.

This is generally fun for the readers. For authors, it can be a real Pandora’s box. An open channel of communication has no filter, and along with the good comes the bad. If you’re Reader Interactions type to read reviews, you have to be able to swallow the negative ones as easily as the glowing ones to maintain any measure of self-worth. If you’re going to interact with readers online, you have to be Reader Interactions to answer those tough questions with as much honesty as the simple ones—or be called out for it.

And if you engage, how much are you (or your story) changed by the interaction? Can you really receive insightful criticism from a reader who clearly understands your story and not let their critique Reader Interactions your future work?

One of my readers presented this question to me this week:

“This Reader Interactions caught my attention mostly because of your willingness to change your work based on feedback from your readers…but how much should we as readers influence your work? I’m not sure this new world of interacting with writers gives the best result…”

This question Reader Interactions fascinated me that I felt it deserved a blog post to discuss my thoughts in reply.

The situation referenced above involved a scene with Isabel and Pelas, two characters in Paths of Alir, book three of my epic fantasy series A Pattern of Shadow & Light, Reader Interactions. This was an emotionally charged interaction dealing with difficult issues. I wrote the scene because of the valuable moral and philosophical questions it opened for further exploration, but I knew from the outset that it would upset some readers.

The ability to assume viewpoints and write from these points of view is vital for any author—it’s part and parcel to making characters appear real to the reader. But just as important Reader Interactions the ability to assume the viewpoint of the reader  as they’re reading the scene, Reader Interactions. Writing is communication, and communication by definition includes a sort of “duplication” of what WinRAR 6.0 Crack + Universal Keygen Torrent (2021) being communicated. If I say “apples” and you hear “oranges,” we haven’t really communicated because there’s no understanding, no duplication, there.

Part of my job as an author is to ensure that my communication (via my characters’ actions and viewpoints) is understood and correctly received by the reader. To do this, I try to assume as many possible reader viewpoints as possible. I try to envision how readers Reader Interactions interpret each scene; I ask myself what questions the scene will engender, what difficulties it will present. I try to anticipate my readers’ questions, Reader Interactions, confusions and emotional responses.

Obviously, I cannot assume every point of view—there are Reader Interactions many points of view as there are people in this world—but I have a responsibility to assume as many viewpoints as possible in order to ensure my communication is received the way I want it to be received.

When writing the scene with Isabel and Pelas, I missed a vital point of view; I didn’t anticipate that readers might interpret the scene in this particular way. None of my Reader Interactions readers had even beeped on this viewpoint. Thus, when I learned that a reader had a particularly strong emotional response to the scene based on a mistaken understanding of my intention for the scene, I felt a responsibility to make some alterations so that future readers could in no way land upon the same interpretation.

If I’m doing my job, the emotional responses you have as a Reader Interactions, the thoughts you have and the questions you have are exactly the responses, thoughts and questions I intended you to have. I’m generally good at my job.

The situation with Isabel and Pelas was an isolated occurrence—I’ve never before or since changed the story as a result of a reader’s interpretation. But it still begs the question: would I be willing to make changes to other scenes based on reader interpretation (or misinterpretation)?

Dialogue with my readers offers a window into new and sometimes unique perspectives on my story. Do these perspectives change my view of the story or the characters. Generally not. I’m more inclined to answer criticism with further explanation than by questioning my original choices.

What the reader-author interaction offers is more of those innumerable reader viewpoints to take into account as I’m writing. For example, Reader Interactions, if a reader tells me they don’t understand why a character did something, I can make sure their confusion is resolved in a later chapter (or the next book). If I know readers might interpret a scene a certain way, I can include explanations that steer them in a specific direction—away from that unwanted interpretation. I can prevent those questions or confusions with well-placed answers offered before the reader even Reader Interactions those questions and thereby head off unintended reactions or conclusions.

This is all part of anticipating the reader and is a pivotal element of a well Reader Interactions novel. You have to be able to anticipate in order to influence.

With all this said, maintaining a close author-reader interaction is a perilous path to walk, Reader Interactions. The more an author engages in dialogue and discussion with readers, the closer he or she skirts that edge where criticism becomes harmful and interaction, invasive. You have to have a firm moral conviction about your characters and their choices, about your story, and your message, Reader Interactions. You need iron-clad integrity.

But I believe the author is responsible to a large degree for the vray crack Archives his/her readers have to his story—through intention or neglect of assuming enough viewpoints, the author did somehow bring about those reactions. Personally, Reader Interactions, I take that responsibility very seriously.


What are your thoughts? How engaged should an author be with his or her fans? How much should they let this interaction influence their work? How much should they feel responsible for the effect their story has on readers?


Источник: [https://torrent-igruha.org/3551-portal.html]

Interactions: A Thematic Reader

This thematically arranged short-essay reader emphasizes the reading-writing connection, critical thinking, and collaborative learning. The diverse readings are selected from a variety of genres for their currency, readability, high interest level, and cultural diversity. Presented within a unifying framework of personal identity, the selections lead students from a considThis thematically arranged short-essay reader emphasizes the reading-writing connection, Reader Interactions, critical thinking, and collaborative learning. The diverse readings are selected from a variety of genres for their currency, readability, high interest level, and cultural diversity. Presented within a unifying framework of personal identity, the selections lead students from a consideration of the self to an awareness of Reader Interactions the self interacts with other people and phenomena.A wealth of apparatus includes pre-reading questions and vocabulary as well as post-reading questions that promote comprehension, prompt analysis of the writer's use of rhetorical mode, Reader Interactions, and serve as writing assignments, Reader Interactions. Paired readings in each unit present different, often contrasting viewpoints, encouraging students Reader Interactions view subjects from different perspectives. At least one student essay in each unit provides Reader Interactions and motivating models of good writing.more

Paperback, Fourth Edition, 550 pages

Published July 30th 1999 Reader Interactions by Houghton Mifflin Harcourt Reader Interactions Reader Interactions (first published Reader Interactions 1st 1991)

Источник: [https://torrent-igruha.org/3551-portal.html]

Reader-Text Interactions: How Differential Text and Question Types Influence Cognitive Skills Needed for Reading Comprehension


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Источник: [https://torrent-igruha.org/3551-portal.html]

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