Protein Binding Patterns Research Articles

Chromatin Immunoprecipitation (ChIP) Using Drosophila Antennal and Brain Samples.

Chromatin immunoprecipitation (ChIP) is a common approach for studying the binding pattern of proteins on DNA sequences or the landscape of histones with different marks throughout the genome. ChIP is used on various organisms, including Drosophila This protocol provides a detailed overview of the immunoprecipitation portion of a ChIP procedure from samples of Drosophila nervous systems, specifically antennae and brains, that have already been fixed and sheared. These methods can be applied to other tissues of interest after optimizing for sample size and other relevant parameters.

Unveiling the Antiviral Capabilities of Targeting Human Dihydroorotate Dehydrogenase against SARS-CoV-2.

The urgent need for effective treatments against emerging viral diseases, driven by drug-resistant strains and new viral variants, remains critical. We focus on inhibiting the human dihydroorotate dehydrogenase (HsDHODH), one of the main enzymes responsible for pyrimidine nucleotide synthesis. This strategy could impede viral replication without provoking resistance. We evaluated naphthoquinone fragments, discovering potent HsDHODH inhibition with IC50 ranging from 48 to 684 nM, and promising in vitro anti-SARS-CoV-2 activity with EC50 ranging from 1.2 to 2.3 μM. These compounds exhibited low toxicity, indicating potential for further development. Additionally, we employed computational tools such as molecular docking and quantitative structure-activity relationship (QSAR) models to analyze protein-ligand interactions, revealing that these naphthoquinones exhibit a protein binding pattern similar to brequinar, a potent HsDHODH inhibitor. These findings represent a significant step forward in the search for effective antiviral treatments and have great potential to impact the development of new broad-spectrum antiviral drugs.

Discovery of Unexpected Phospholipid-Binding Proteins in Antiphospholipid Syndrome Patients

INTRODUCTION: The antiphospholipid syndrome (APS), initially described nearly 4 decades ago, remains enigmatic with unclear pathophysiology. In addition to the lack of a mechanistic diagnostic test, APS exhibits considerable phenotypic heterogeneity, including the occurrence of “non-consensus” clinical manifestations (i.e. other than vascular thrombosis and pregnancy complications). Despite the evidence that phospholipid-binding factors are highly likely to be central to APS pathogenesis, the full complement of phospholipid-binding proteins has yet to be systemically assayed. Proteomic profiling by label-free quantitation (LFQ) may identify patterns of protein binding to phospholipid that are central to APS pathogenesis and thereby elucidate a basis for the heterogeneous clinical presentations of APS. METHODS: C18 silica beads were coated with phospholipid by incubation with a suspension of 30% phosphatidylserine/70% phosphatidylcholine. Plasmas from 4 groups: 1) APS patients (n=11), 2) APL positive patients who lacked clinical manifestations (“APL”) (n=11), 3) non-APL patients with thrombosis (“nonAPL”)(n=11), and 4) normal healthy controls (“normal”) (n=6) were incubated with the phospholipid-coated beads, and eluates were processed by gel electrophoresis followed by tryptic digestion. The resulting peptides were analyzed by LC-MS/MS on a Thermo Orbitrap Fusion Lumos. Protein identification, false discovery rate (FDR) estimation, and LFQ were performed using Proteome Discoverer 2.2 (Thermo). LFQ values were normalized by overall peptide abundance, and relative quantitation was obtained. Groupwise comparisons were performed using PD 2.2 in order to identify differentially enriched proteins. RESULTS: A total of 1,210 proteins were identified, with 875 proteins identified at high confidence (q<0.01). Based on gel electrophoresis, all samples had comparable amounts of total protein, and normalization of LFQ data on the basis of total proteins was therefore performed. Differentially expressed proteins between groups were identified using both fold-change and -log p value cutoffs (Figure 1a). Primary analysis focused on identifying proteins that were consistently preferentially bound from the APS plasmas compared to the normal controls. Novel findings included the following proteins related to coagulation, immune response, and to lipid binding that bound preferentially from APS plasmas compared to normal plasmas (APS:control ratios shown in parentheses): coagulation factor VII (10.4), heparin cofactor 2 (9.6), CD14 (6.1), apolipoprotein L1 (6.0), and apolipoprotein L2 (5.5). Additional proteins that preferentially bound from APS plasmas included OAF (13.7), BRSK1 (13.2), MINPP1 (12.5), fetuin B (10.5), SHBG (8.9), ADAMTS-like protein 4 (8.5), SERPIN A4 (7.6), alpha-2-HS glycoprotein (6.7) and inter-alpha-trypsin inhibitor heavy chains (H3, H4 and H1; 8.5, 6.6, 6.5 respectively). Consistent with prior knowledge of APS, and validating this LFQ approach immunoglobulins and complement proteins were also among the preferentially bound proteins and included: Ig heavy chain 1-3 (15.6), complement C9 (13.3), complement C4-B, (7.1), complement component C8 beta chain (5.6), Ig kappa variable 1D-8 (5.6), and Ig lambda-like polypeptide 1 (3.9). Interestingly, a number of identified proteins showed intermediate abundance (between APS and control) in the APL positive patients without clinical manifestations (“APL”) and APL negative patients with thrombosis (“nonAPL”) (see figure 1B-D for examples), suggesting a potential dose response effect. CONCLUSIONS: 1) These results are a first demonstration of concept for the ability of LFQ proteomics to address the complexity of APS through analysis of phospholipid-bound proteins. 2) A number of phospholipid-binding proteins, many of which have not been previously implicated in APS pathogenesis, are preferentially present in APS patient plasma 3) Some plasmas from APL and non-APL patients also show increased binding of some of these proteins compared to the normal controls, suggesting that LFQ may identify markers for subgroups of patients within these 2 categories.

Comprehensive assessment of differential ChIP-seq tools guides optimal algorithm selection

BackgroundThe analysis of chromatin binding patterns of proteins in different biological states is a main application of chromatin immunoprecipitation followed by sequencing (ChIP-seq). A large number of algorithms and computational tools for quantitative comparison of ChIP-seq datasets exist, but their performance is strongly dependent on the parameters of the biological system under investigation. Thus, a systematic assessment of available computational tools for differential ChIP-seq analysis is required to guide the optimal selection of analysis tools based on the present biological scenario.ResultsWe created standardized reference datasets by in silico simulation and sub-sampling of genuine ChIP-seq data to represent different biological scenarios and binding profiles. Using these data, we evaluated the performance of 33 computational tools and approaches for differential ChIP-seq analysis. Tool performance was strongly dependent on peak size and shape as well as on the scenario of biological regulation.ConclusionsOur analysis provides unbiased guidelines for the optimized choice of software tools in differential ChIP-seq analysis.

Synthetic O-Acetyl-N-glycolylneuraminic Acid Oligosaccharides Reveal Host-Associated Binding Patterns of Coronaviral Glycoproteins.

A panel of O-acetylated N-glycolylneuraminic acid oligosaccharides has been prepared by diversification of common synthetic precursors by regioselective de-O-acetylation by coronaviral hemagglutinin-esterase (HE) combined with C7-to-C9 acetyl ester migration. The resulting compound library was printed on streptavidin-coated glass slides to give a microarray to investigate receptor binding specificities of viral envelope glycoproteins, including spike proteins and HEs from animal and human coronaviruses. It was found that the binding patterns of the viral proteins for N-glycolylated sialosides differ considerable from those of the previously synthesized N-acetylated counterparts. Generally, the spike proteins tolerate N-glycolyl modification, but selectivities differ among viruses targeting different hosts. On the other hand, the lectin domain of the corresponding HEs showed a substantial decrease or loss of binding of N-glycolylated sialosides. MD simulations indicate that glycolyl recognition by HE is mediated by polar residues in a loop region (109-119) that interacts with the 5-N-glycolyl moiety. Collectively, the results indicate that coronaviruses have adjusted their receptor fine specificities to adapt to the sialoglycome of their host species.

Exploration of binding mechanism of triclosan towards cancer markers using molecular docking and molecular dynamics

The molecule 5-chloro-2-(2,4-dichlorophenoxy) phenol is well-known as Triclosan (TCS), which is also a potential endocrine disrupting synthetic chemical. TCS exposure has been connected to the control of the human enoyl-acyl carrier protein-reductase (hER), which has been linked to a range of life threatening diseases. However, other than hER, the new protein targets for TCS that are responsible for a variety of cancers are yet unclear. The goal of this work is to investigate into the protein binding patterns of TCS and proteins from various cancer signaling pathways. Discovery Studio 4.1 was used to perform molecular docking and molecular dynamics (MD) on the protein-triclosan complex. The proteins were first screened using CHARMM-based docking with a CDOCKER energy greater than −21.40 kcal/mol. The CDOCKER energies of Fas-associated death domain (FADD), Receptor-interacting protein 1 (RIP1), F-κB-inducing kinase (NIK), c-Jun N-terminal kinase (JNK), Apoptosis signal-regulating kinase 1 (ASK1), B-cell lymphoma 2 (Bcl-2), Apoptosis-inducing factor (AIF), α-tubulin, and Actin were −20.68 kcal/mol, −26.88 kcal/mol, −23.43 kcal/mol, −22.21 kcal/mol, −20.40 kcal/mol, −21.10 kcal/mol, −20.98 kcal/mol, −24.67 kcal/mol, and −23.09 kcal/mol respectively. MD was performed on the screened proteins by standard dynamics cascade tool using CHARMM Force field. The MD results were accessed using the energy–time graph, root-mean-square deviation (RMSD), and root mean square fluctuations (RMSF). The 100 conformers of α-tubulin, NIK, FADD, and RIP1 were found to have a trend of increasing RMSD, whereas Bcl-2, ASK1, AIF, Actin, and JNK proteins had lower RMSD values. In compared to FADD, AIF, and JNK, the RMSF variations of the Bcl-2, ASK1, α-tubulin, Actin, NIK, and RIP1 residues were shown to be high. Similar patterns were seen in the energy variations, which range from 1000 kcal/mol to 2000 kcal/mol. RIP1 and Bcl-2 showed more variation in the sidechain RMSF in comparison to FADD, ASK1, AIF, Actin, α-tubulin, NIK and JNK. Thus, it can be postulated that AIF and JNK proteins of apoptosis signaling pathway are pivotal in the TCS mediated reactions.

Protein aggregation and Ca2+-induced gelation of soymilk after heat treatment under slightly alkaline conditions

Alkaline heat treatment of soymilk is widely used in the production of soy products. This study aimed to clarify the effect of the thermal aggregation state of proteins on the coagulation characteristics of soymilk. Soymilk with different pH levels (6.6–8.0) was preheated, and the gelation processes induced by CaSO4·2H2O and the gel properties were investigated. Results showed that the aggregation and binding pattern of proteins changed after slightly alkaline heat treatment. The ability of 7S and the acidic (A) subunit of 11S to bind to the basic (B) subunit of 11S weakened. These subunits converted into non-particulate proteins, which decreased particulate protein content and particle size. The number of sulfhydryl groups on the protein surface reduced by 45%–62%, and more disulfide bonds formed in the protein subunits during recombination. During gelation, the soymilk after alkaline heat treatment exhibited a slow intermolecular binding in the “pre-aggregation” stage, which led to late gelation onset and a uniform gel network. With the increase in non-gelable protein content in the gel, the water holding capacity (WHC) enhanced and but the hardness decreased. When the pH was further increased (pH ≥ 7.8) to the isoelectric point of the B subunit, the B subunit excessively aggregated and formed large and dense aggregates, which increased gel hardness and produced a rough and uneven network.

Binding patterns of RNA-binding proteins to repeat-derived RNA sequences reveal putative functional RNA elements.

Recent reports have revealed that repeat-derived sequences embedded in introns or long noncoding RNAs (lncRNAs) are targets of RNA-binding proteins (RBPs) and contribute to biological processes such as RNA splicing or transcriptional regulation. These findings suggest that repeat-derived RNAs are important as scaffolds of RBPs and functional elements. However, the overall functional sequences of the repeat-derived RNAs are not fully understood. Here, we show the putative functional repeat-derived RNAs by analyzing the binding patterns of RBPs based on ENCODE eCLIP data. We mapped all eCLIP reads to repeat sequences and observed that 10.75 % and 7.04 % of reads on average were enriched (at least 2-fold over control) in the repeats in K562 and HepG2 cells, respectively. Using these data, we predicted functional RNA elements on the sense and antisense strands of long interspersed element 1 (LINE1) sequences. Furthermore, we found several new sets of RBPs on fragments derived from other transposable element (TE) families. Some of these fragments show specific and stable secondary structures and are found to be inserted into the introns of genes or lncRNAs. These results suggest that the repeat-derived RNA sequences are strong candidates for the functional RNA elements of endogenous noncoding RNAs.

Chromatographic and adsorptive behavior of a bivalent bispecific antibody and associated fragments

The elution and adsorptive behavior of a bivalent bispecific antibody (BiSAb), comprising an IgG1 framework with a scFv domain genetically fused to each heavy chain C-terminus via flexible linkers, and of two associated fragments were studied on two cation exchange chromatography media – ProPac WCX-10, which is pellicular and suitable for analytical use, and Nuvia HR-S, which is macroporous and suitable for preparative and process scale uses. Both fragments were identified by MS as missing one of the two scFv domains and its flexible linker, but one of them also contains an additional C-terminal lysine. The separation of these fragments on both resins occurs as a result of differences in non-specific ligand-protein interactions that are modulated by the salt concentration. For the ProPac WCX-10 column, complex, multipeak elution behaviors are observed, since, as a result of the linker flexibility, both the intact molecule and the fragments appear to exist in multiple binding configurations with each scFv domains either collapsed onto the IgG framework or extended away from it. With a residence time of 2.5 min and at 21 °C, two peak elution is observed for the fragments which contain a single linked scFv and three peak elution for the intact molecule which contains two linked scFvs. This behavior is affected by residence time, temperature, and hold time. Increasing the residence time to 25 min or increasing temperature to 40°C results in elution of a single, merged peak for each of the protein species. For Nuvia HR-S, the broader peaks, obtained as a result of mass transfer limitations, tend to obscure the multipeak elution behavior. Nevertheless, even for this resin, the effects of configurational flexibility are still manifested at the single-particle scale and affect the evolution of the patterns of protein binding within individual resin particles as evident from confocal microscopy observations.

Metalloproteomics for molecular target identification of protein-binding anticancer metallodrugs.

Proteomics has played an important role in elucidating the fundamental processes occuring in living cells. Translating these methods to metallodrug research ('metalloproteomics') has provided a means for molecular target identification of metal-based anticancer agents which should signifcantly advance the research field. In combination with biological assays, these techniques have enabled the mechanisms of action of metallodrugs to be linked to their interactions with molecular targets and aid understanding of their biological properties. Such investigations have profoundly increased our knowledge of the complex and dynamic nature of metallodrug-biomolecule interactions and have provided, at least for some compound types, a more detailed picture on their specific protein-binding patterns. This perspective highlights the progression of metallodrug proteomics research for the identification of non-DNA targets from standard analytical techniques to powerful metallodrug pull-down methods.

Global changes in nitration levels and DNA binding profile of Trypanosoma cruzi histones induced by incubation with host extracellular matrix.

Adhesion of T. cruzi trypomastigotes to components of the extracellular matrix (ECM) is an important step in mammalian host cell invasion. We have recently described a significant increase in the tyrosine nitration levels of histones H2A and H4 when trypomastigotes are incubated with components of the ECM. In this work, we used chromatin immunoprecipitation (ChIP) with an anti-nitrotyrosine antibody followed by mass spectrometry to identify nitrated DNA binding proteins in T. cruzi and to detect alterations in nitration levels induced upon parasite incubation with the ECM. Histone H1, H2B, H2A and H3 were detected among the 9 most abundant nitrated DNA binding proteins using this proteomic approach. One nitrated tyrosine residue (Y29) was identified in Histone H2B in the MS/MS spectrum. In addition, we observed a significant increase in the nitration levels of histones H1, H2B, H2A and H4 upon parasite incubation with ECM. Finally, we used ChIP-Seq to map global changes in the DNA binding profile of nitrated proteins. We observed a significant change in the binding pattern of nitrated proteins to DNA after parasite incubation with ECM. This work provides the first global profile of nitrated DNA binding proteins in T. cruzi and additional evidence for modification in the nitration profile of histones upon parasite incubation with ECM. Our data also indicate that the parasite interaction with the ECM induces alterations in chromatin structure, possibly affecting nuclear functions.

In Silico Exploration of Conformational Dynamics and Novel Inhibitors for Targeting MEF2-Associated Transcriptional Activity.

Myocyte enhancer factor 2 (MEF2; MEF2A-MEF2D) transcription factors regulate gene expression in a variety of developmental processes by binding to AT-rich DNA motifs via highly conserved N-terminal extensions known as MADS-box and MEF2 domains. Despite the fact that MEF2 proteins exhibit high similarity at their N-terminal regions and share a common consensus DNA binding motif, their functional preferences may vary significantly in the adjacent regions to the DNA binding core segment. The current study delineates the conformational paradigm, clustered recognition, and comparative DNA binding preferences for MEF2A and MEF2B-specific MADS-box/MEF2 domains at the YTA(A/T)4TAR consensus motif. In both MEF2A and MEF2B proteins, α1-helix plays a crucial role through acquiring more flexibility by attaining loop conformation. In comparison to apo-MEF2, an outward disposition of the distal portion of α1-helix and movement of its proximal part to β1 allows synergistic repositioning of the α1-α2 linker, C-terminal region, and MEF2 domain, resulting in the formation of a hydrophobic groove for DNA binding. In both instances, conformational switching of the helical content is the main contributing factor while preserving the overall β-topology to maintain the inside-out conformation of subdivided α1-helix flip. Multivariate statistical analysis reveals that MEF2B obscures less accessible conformational space for DNA binding as compared to the MEF2A-DNA complex. The presence of similar structural requirements and conserved residues including Arg10, Phe21, and Arg24 in accentuating the MEF2-specific DNA recognition mechanism led us to perform structure-based virtual screening for isolating novel inhibitors that are able to target MEF2-DNA binding regions. The top hits (acetamide, benzamide, carboxamide, and enamide) obtained through preliminary assay were scrutinized to binding potential analysis at the MEF2-DNA binding groove, energy values, absorption, distribution, toxicity, and Lipinski's rule of five assessments. Based on these findings, we propose valuable active drug-like molecules for selective applications against MEF2A and MEF2B. The current study may help in uncovering the atomistic-level mechanistic DNA binding patterns of MEF2 proteins, and data may be valuable in devising effective therapeutic strategies for MEF2-associated disorders.

Preparation of Drosophila Polytene Chromosomes, Followed by Immunofluorescence Analysis of Chromatin Structure by Multi-fluorescence Correlations.

Drosophila larval salivary gland polytene chromosome squashes have been used for decades to analyze genome-wide protein-binding patterns, transcriptional activation processes, and changes in chromatin structure at specific genetic loci. There have been many evolutions of the squashing protocol over the years, with sub-optimal reproducibility and low sample success rate as accepted caveats. However, low sample success rates are an obvious disadvantage when polytene chromosomes are used for more high-throughput approaches, such as genetic or antibody screens, or for experiments requiring high-quality chromosome structure preservation. Here we present an exceptionally reproducible squashing and fluorescence staining protocol, which generates high-quality fluorescence images on well-spread chromosomes. This is followed by our novel, semi-automated MATLAB analysis program used to determine correlations between fluorescence signals of interest at a single site on polytene chromosomes, in a pixel-by-pixel manner. In our case, we have used this approach to assess chromatin changes at genomic sites, ectopically targeted by nuclear pore proteins. The use of our analysis program increases the ability to make unbiased conclusions on changes in chromatin structure, or in protein recruitment to chromatin, regardless of sample variation in immunofluorescence staining. As it is simply based upon differences in fluorescence intensity at a defined location, the provided analysis program is not limited to analysis of polytene chromosome, and could be applied to many different contexts where correlation between fluorescent signals at any particular location is of interest.

Amphiphilic nanogels: influence of surface hydrophobicity on protein corona, biocompatibility and cellular uptake.

Background and purposeNanogels (NGs) are promising drug delivery tools but are typically limited to hydrophilic drugs. Many potential new drugs are hydrophobic. Our study systematically investigates amphiphilic NGs with varying hydrophobicity, but similar colloidal features to ensure comparability. The amphiphilic NGs used in this experiment consist of a hydrophilic polymer network with randomly distributed hydrophobic groups. For the synthesis we used a new synthetic platform approach. Their amphiphilic character allows the encapsulation of hydrophobic drugs. Importantly, the hydrophilic/hydrophobic balance determines drug loading and biological interactions. In particular, protein adsorption to NG surfaces is dependent on hydrophobicity and critically determines circulation time. Our study investigates how network hydrophobicity influences protein binding, biocompatibility and cellular uptake.MethodsBiocompatibility of the NGs was examined by WST-1 assay in monocytic-like THP-1 cells. Serum protein corona formation was investigated using dynamic light scattering and two-dimensional gel electrophoresis. Proteins were identified by liquid chromatography-tandem mass spectrometry. In addition, cellular uptake was analyzed via flow cytometry.ResultsAll NGs were highly biocompatible. The protein binding patterns for the two most hydrophobic NGs were very similar to each other but clearly different from the hydrophilic ones. Overall, protein binding was increased with increasing hydrophobicity, resulting in increased cellular uptake.ConclusionOur study supports the establishment of structure–property relationships and contributes to the accurate balance between maximum loading capacity with low protein binding, optimal biological half-life and good biocompatibility. This is an important step to derive design principles of amphiphilic NGs to be applied as drug delivery vehicles.

Identifying Transcriptional Regulatory Modules Among Different Chromatin States in Mouse Neural Stem Cells.

Gene expression regulation is a complex process involving the interplay between transcription factors and chromatin states. Significant progress has been made toward understanding the impact of chromatin states on gene expression. Nevertheless, the mechanism of transcription factors binding combinatorially in different chromatin states to enable selective regulation of gene expression remains an interesting research area. We introduce a nonparametric Bayesian clustering method for inhomogeneous Poisson processes to detect heterogeneous binding patterns of multiple proteins including transcription factors to form regulatory modules in different chromatin states. We applied this approach on ChIP-seq data for mouse neural stem cells containing 21 proteins and observed different groups or modules of proteins clustered within different chromatin states. These chromatin-state-specific regulatory modules were found to have significant influence on gene expression. We also observed different motif preferences for certain TFs between different chromatin states. Our results reveal a degree of interdependency between chromatin states and combinatorial binding of proteins in the complex transcriptional regulatory process. The software package is available on Github at - https://github.com/BSharmi/DPM-LGCP.

High-resolution mapping of centromeric protein association using APEX-chromatin fibers

BackgroundThe centromere is a specialized chromosomal locus that forms the basis for the assembly of a multi-protein complex, the kinetochore and ensures faithful chromosome segregation during every cell division. The repetitive nature of the underlying centromeric sequence represents a major obstacle for high-resolution mapping of protein binding using methods that rely on annotated genomes. Here, we present a novel microscopy-based approach called “APEX-chromatin fibers” for localizing protein binding over the repetitive centromeric sequences at kilobase resolution.ResultsBy fusing centromere factors of interest to ascorbate peroxidase, we were able to label their binding profiles on extended chromatin fibers with biotin marks. We applied APEX-chromatin fibers to at least one member of each CCAN complex, most of which show a localization pattern different from CENP-A but within the CENP-A delineated centromeric domain. Interestingly, we describe here a novel characteristic of CENP-I and CENP-B that display extended localization beyond the CENP-A boundaries.ConclusionsOur approach was successfully applied for mapping protein association over centromeric chromatin, revealing previously undescribed localization patterns. In this study, we focused on centromeric factors, but we believe that this approach could be useful for mapping protein binding patterns in other repetitive regions.

Poly r(C) Binding Protein 1 Regulates Posttranscriptional Expression of the Ubiquitin Ligase TRIM56 in Ovarian Cancer.

Our earlier work has shown that the E3 ligase TRIM56 messenger RNA (mRNA) level and vimentin protein expression followed an inverse correlation in ovarian carcinoma patients; however, the regulatory mechanisms underlying TRIM56 expression is unclear. Steady state expression of TRIM56 mRNA expression in the normal ovarian cell line Moody and ovarian cancer cell lines SKOV-3, A2780, and Caov-3 were not significantly different; however, TRIM56 protein expression was significantly lower in the ovarian cancer cell lines compared to the Moody cell line. Polysome profiling showed significant increase in translation of TRIM56 messenger RNA in the Moody cells compared to the SKOV-3 cells. We performed RNA-affinity pulldown using biotinylated TRIM56 5 'and 3'-UTR and postnuclear extracts from Moody and SKOV-3 cells. Whereas no notable difference was observed in affinity pull-down obtained with the 5'-UTR, there was obvious difference in protein binding patterns with the 3'-UTR. Mass spectrometry was used to determine the most differentially binding protein as poly r (c) binding protein 1 (PCBP1). PCBP1 expression and binding to the 3'-UTR was both higher in SKOV-3 cells compared to the Moody cells. Silencing of TRIM56 in Moody cells cause an increase in in vitro migration and invasion, and a similar effect was mimicked by overexpression of PCBP1. Conversely, silencing of PCBP1 or overexpression of TRIM56 in SKOV-3 cells significantly decreased in vitro migration and invasion. In xenograft assays, SKOV-3 cells stably overexpressing shRNA targeting PCBP1 decreased metastasis, whereas shRNA-targeting TRIM56 potentiated detection of metastatic lesions, compared to the parental SKOV-3 cells themselves. Taken together our results reveal a yet undefined posttranscriptional regulatory mechanism underlying low expression of TRIM56 in ovarian cancer. © 2018 IUBMB Life, 71(1):177-182, 2019.

AAV-8 and AAV-9 Vectors Cooperate with Serum Proteins Differently Than AAV-1 and AAV-6

Under intravenous delivery, recombinant adeno-associated vectors (rAAVs) interact with blood-borne components in ways that can critically alter their therapeutic efficiencies. We have previously shown that interaction with human galectin 3 binding protein dramatically reduces rAAV-6 efficacy, whereas binding of mouse C-reactive protein improves rAAV-1 and rAAV-6 transduction effectiveness. Herein we have assessed, through qualitative and quantitative studies, the proteins from mouse and human sera that bind with rAAV-8 and rAAV-9, two vectors that are being considered for clinical trials for patients with neuromuscular disorders. We show that, in contrast to rAAV-1 and rAAV-6, there was a substantial similarity in protein binding patterns between mouse and human sera for these vector serotypes. To establish an in vivo role for the vector binding of these sera proteins, we chose to study platelet factor 4 (PF4), which interacts with both vectors in both mouse and human sera. Experiments using PF4-knockout mice showed that a complete lack of PF4 did not alter skeletal muscle transduction for these vectors, whereas heart transduction was moderately improved. Our results strongly support our position that the impact of serum proteins on the transduction properties of rAAV-8 and rAAV-9, already observed in mouse models, should be similar in human preclinical trials.

FDDNP-PET Tau Brain Protein Binding Patterns in Military Personnel with Suspected Chronic Traumatic Encephalopathy1.

Our group has shown that in vivo tau brain binding patterns from FDDNP-PET scans in retired professional football players with suspected chronic traumatic encephalopathy differ from those of tau and amyloid aggregate binding observed in Alzheimer's disease (AD) patients and cognitively-intact controls. To compare these findings with those from military personnel with histories of mild traumatic brain injury(mTBI). FDDNP-PET brain scans were compared among 7 military personnel and 15 retired players with mTBI histories and cognitive and/or mood symptoms, 24 AD patients, and 28 cognitively-intact controls. Nonparametric ANCOVAs with Tukey-Kramer adjusted post-hoc comparisons were used to test for significant differences in regional FDDNP binding among subject groups. FDDNP brain binding was higher in military personnel compared to controls in the amygdala, midbrain, thalamus, pons, frontal and anterior and posterior cingulate regions (p < 0.01-0.0001). Binding patterns in the military personnel were similar to those of the players except for the amygdala and striatum (binding higher in players; p = 0.02-0.003). Compared with the AD group, the military personnel showed higher binding in the midbrain (p = 0.0008) and pons (p = 0.002) and lower binding in the medial temporal, lateral temporal, and parietal regions (all p = 0.02). This first study of in vivo tau and amyloid brain signals in military personnel with histories of mTBI shows binding patterns similar to those of retired football players and distinct from the binding patterns in AD and normal aging, suggesting the potential value of FDDNP-PET for early detection and treatment monitoring in varied at-risk populations.

Comparative analysis of binding patterns of MADS-domain proteins in Arabidopsis thaliana

BackgroundCorrect flower formation requires highly specific temporal and spatial regulation of gene expression. In Arabidopsis thaliana the majority of the master regulators that determine flower organ identity belong to the MADS-domain transcription factor family. The canonical DNA binding motif for this transcription factor family is the CArG-box, which has the consensus CC(A/T)6GG. However, so far, a comprehensive analysis of MADS-domain binding patterns has not yet been performed.ResultsEight publicly available ChIP-seq datasets of MADS-domain proteins that regulate the floral transition and flower formation were analyzed. Surprisingly, the preferred DNA binding motif of each protein was a CArG-box with an NAA extension. Furthermore, motifs of other transcription factors were found in the vicinity of binding sites of MADS-domain transcription factors, suggesting that interaction of MADS-domain proteins with other transcription factors is important for target gene regulation. Finally, conservation of CArG-boxes between Arabidopsis ecotypes was assessed to obtain information about their evolutionary importance. CArG-boxes that fully matched the consensus were more conserved than other CArG-boxes, suggesting that the perfect CArG-box is evolutionary more important than other CArG-box variants.ConclusionOur analysis provides detailed insight into MADS-domain protein binding patterns. The results underline the importance of an extended version of the CArG-box and provide a first view on evolutionary conservation of MADS-domain protein binding sites in Arabidopsis ecotypes.