Biology subjects

Pan, Z.

Publications and source records attributed to Pan, Z..

At least 55 records · Page 3Linked to original sources

bioRxiv2023

The ChickenGTEx pilot analysis: a reference of regulatory variants across 28 chicken tissues

Chicken is a valuable model for understanding fundamental biology, vertebrate evolution and diseases, as well as a major source of nutrient-dense and lean-protein-enriched food globally. Although it is the first non-mammalian amniote genome to be sequenced, the chicken genome still lacks a systematic characterization of functional impacts of genetic variants. Here, through integrating 7,015 RNA-Seq and 2,869 whole-genome sequence data, the Chicken Genotype- Tissue Expression (ChickenGTEx) project presents the pilot reference of regulatory variants in 28 chicken tissue transcriptomes, including millions of regulatory effects on primary expression (including protein-coding genes, lncRNA and exon) and post-transcriptional modifications (alternative splicing and 3 untranslated region alternative polyadenylation). We explored the tissue-sharing and context-specificity of these regulatory variants, their underlying molecular mechanisms of action, and their utility in interpreting adaptation and genome-wide associations of 108 chicken complex traits. Finally, we illustrated shared and lineage-specific features of gene regulation between chickens and mammals, and demonstrated how the ChickenGTEx resource can further assist with translating genetic findings across species. One-Sentence SummaryThe ChickenGTEx provides a multi-tissue reference of regulatory variants for chicken genetics and genomics, functional genomics, precision breeding, veterinary medicine, vertebrate evolution and even human biomedicine.

genetics↗

bioRxiv2023

DnaK duplicates and regionally evolves for the increase of proteomic complexity in bacteria

Hsp70 is important for organismic cells to maintain proteostasis and the chaperone protein is duplicated in all eukaryotes and many prokaryotes. Although the functioning mechanism of Hsp70 has been clearly illuminated, the chaperone duplication and functional evolution has been less investigated. DnaK is a highly conserved bacterial Hsp70 family. Here we showed that the dnaK gene is present in 98.9% bacteria and 6.4% bacteria possess duplicated dnaKs; the occurrence and duplication is positively corelated to the increase of proteomic complexity. We identified the interactomes of the two DnaK paralogs in Myxococcus xanthus DK1622, which are mostly nonoverlapped, but both preferring the &{beta} domain proteins. Consistent with the proteomes, the MxDnaK substrates are both significantly size-larger and pI-higher than that of the single E. coli DnaK. MxDnaK1 is heat-shock inducible, prefers to bind cytosolic proteins, while MxDnaK2 is decreased by heat shock, and is more associated with membrane proteins. The nucleotide binding domain and the substrate binding beta domain are responsible for the significant changes of DnaK substrates, and the former also determines the dimerization of MxDnaK2, but not MxDnaK1. Our work highlights that DnaK is duplicated and regionally evolved for the increase of proteomic complexity in bacteria.

microbiology↗

bioRxiv2023

AnnoPRO: an innovative strategy for protein function annotation based on image-like protein representation and multimodal deep learning

Protein function annotation has been one of the longstanding issues, which is key for discovering drug targets and understanding physiological or pathological process. A variety of computational methods have therefore been constructed to facilitate the research developments in this particular direction. However, the annotation of protein function based on computational methods has been suffering from the serious "long-tail problem", and it remains extremely challenging for existing methods to improve the prediction accuracies for protein families in tail label levels. In this study, an innovative strategy, entitled AnnoPRO, for protein function annotation was thus constructed. First, a novel method enabling image-like protein representations was proposed. This method is unique in capturing the intrinsic correlations among protein features, which can greatly favor the application of the state-of-the-art deep learning methods popular in image classification. Second, a multimodal framework integrating multichannel convolutional neural network and long short-term memory neural network was constructed to realize a deep learning-based protein functional annotation. Since this framework was inspired by a reputable method used in image classification for dealing with its long-tail problem, our AnnoPRO was expected to significantly improve the annotation performance of the protein families in tail label level. Multiple case studies based on benchmark were also conducted, which confirmed the superior performance of AnnoPRO among the existing methods. All source codes and models of AnnoPRO were freely available to all users at https://github.com/idrblab/AnnoPRO, and would be essential complement to existing methods.

bioinformatics↗

bioRxiv2023

Camouflaging Endovascular Stents with an Endothelial Coat Using CD31 Domain 1-mimetic Peptides

BackgroundEndovascular stents and flow diverters have become widely used for the treatment of vascular diseases; however, their effectiveness is often limited by the deposition and activation of blood platelets and leukocytes. The foreignness of these devices often triggers pathologic local reactions that impede their integration and compromise their efficacy. In this study, we developed a method to camouflage endovascular stents and flow diverters by coating them with a surface that mimics healthy endothelium, in order to promote more effective device integration and prevent the activation of blood cells. MethodsWe designed peptides using domain 1 and/or domain 2 of human CD31 and synthesized the chosen peptide to coat clinical-grade nitinol flow diverters and cobalt chromium balloon expandable stents. The coated stents were implanted in adult rabbits and included control groups of uncoated devices and drug-eluting CoCr stents. The rabbits were monitored for 60 days, during which we assessed the integration of the devices under a physiologic confluence of endothelial cells. ResultsOur results demonstrated that the stents coated with the CD31-Domain 1 mimicking peptide promoted a smooth integration of the devices under a physiologic confluence of endothelial cells. By day 7, the coated stents were entirely covered by a smooth endothelium, unlike bare-metal and drug-eluting stents which remained largely exposed to the flowing blood. By day 60, the coated stents demonstrated superiority over both bare-metal and drug-eluting stents, as they resulted in the formation of a "neo-arterial" wall at the entrance of the aneurysmal sac. ConclusionOur method provides a promising step towards the development of more effective and biocompatible endovascular devices. The CD31 domain 1 coating prevented the pathologic local reaction at the site of stent implantation and promoted faster and more effective device integration. Further studies are necessary to investigate the efficacy and safety of CD31 domain 1 coatings on a larger scale, as well as their long-term durability and potential clinical applications.

bioengineering↗

bioRxiv2023

Amyloplast sedimentation repolarizes LAZYs to achieve gravity sensing in plants

Gravity controls directional growth of plants, and the classical starch-statolith hypothesis proposed more than a century ago postulates that amyloplast sedimentation in specialized cells initiates gravity sensing, but the molecular mechanism remains mysterious. Here, we report that gravistimulation by reorientation triggers the Mitogen-Activated Protein Kinase (MAPK) signaling-mediated phosphorylation of LAZY proteins, the key regulators of gravitropism accumulated more on the lower side of the plasma membrane in columella cells in regular growth Arabidopsis. Phosphorylation of LAZY increases its interaction with several TOC proteins on the surface of amyloplasts, facilitating the translocation of LAZY proteins from the plasma membrane to the amyloplasts. Amyloplast sedimentation subsequently guides LAZY to relocate to the new lower side of the plasma membrane in columella cells, where LAZY induces asymmetrical auxin distribution and differential growth. Together, this study provides a molecular interpretation for the starch-statolith hypothesis: the organelle movement-triggered molecular polarity formation.

plant biology↗

bioRxiv2023

Peptidoglycan from Bacillus anthracis Inhibits Human Macrophage Efferocytosis in Part by Reducing Cell Surface Expression of MERTK and TIM-3

Bacillus anthracis peptidoglycan (PGN) is a major component of the bacterial cell wall and a key pathogen-associated molecular pattern (PAMP) contributing to anthrax pathology, including organ dysfunction and coagulopathy. Increases in apoptotic lymphocytes are a late-stage feature of anthrax and sepsis, suggesting there is a defect in apoptotic clearance. Here, we tested the hypothesis that B. anthracis PGN inhibits the capacity of human monocyte-derived macrophages (M{Phi}) to efferocytose apoptotic cells. Exposure of CD163+CD206+ M{Phi} to PGN for 24h impaired efferocytosis in a manner dependent on human serum opsonins but independent of complement component C3. PGN treatment reduced cell surface expression of the pro-efferocytic signaling receptors MERTK, TYRO3, AXL, integrin V{beta}5, CD36 and TIM-3, whereas TIM-1, V{beta}3, CD300b, CD300f, STABILIN-1 and STABILIN-2 were unaffected. ADAM17 is a major membrane-bound protease implicated in mediating efferocytotic receptor cleavage. We found multiple ADAM17-mediated substrates increased in PGN-treated supernatant suggesting involvement of membrane-bound proteases. ADAM17 inhibitors TAPI-0 and Marimastat prevented TNF release, indicating effective protease inhibition, and modestly increased cell-surface levels of MerTK and TIM-3 but only partially restored efferocytic capacity by PGN-treated M{Phi}. We conclude that human serum factors are required for optimal recognition of PGN by human M{Phi} and that B. anthracis PGN inhibits efferocytosis in part by reducing cell surface expression of MERTK and TIM-3.

immunology↗

bioRxiv2023

Learning functional conservation between pig and human to decipher evolutionary mechanisms underlying gene expression and complex trait

The assessment of genomic conservation between human and pig at the functional level can help understand and improve the potential of pig as a human biomedical model. To address this, we developed a Deep learning-based approach to learn the Genomic Conservation at the Functional level (DeepGCF) between species by integrating 386 and 374 epigenome and transcriptome profiles from human and pig, respectively. DeepGCF demonstrated a better prediction performance compared to the previous functional conservation prediction method. In addition, we showed that the resulting DeepGCF score captures the functional conservation by examining DeepGCF on chromatin states, sequence ontologies, and regulatory variants. Regions with higher DeepGCF score play a more important role in regulatory activities and show heritability enrichment in human complex traits and diseases. Our DeepGCF approach shows a promising application on the comparison of cross-species functional conservation, and the model framework can be easily adapted to other species. By expanding the model to integrate the functional profiles of multiple species, including human, mouse, pig, cattle, and other livestock animals in the future, the functional conservation information will provide additional insight into the genetic and evolutionary mechanisms behind complex traits and diseases.

genetics↗

bioRxiv2022

Structural basis of sRNA RsmZ regulation of Pseudomonas aeruginosa virulence

Pseudomonas aeruginosa is an opportunistic human pathogen that poses threats to hospitalized immunocompromised patients 1. A non-coding small RNA (sRNA) from the repressor of secondary metabolites (Rsm) system, RsmZ, sequesters the global repressor protein RsmA to regulate downstream gene expressions that reprogram virulence repertoires associated with acute and chronic P. aeruginosa infections 2,3. Molecular insights into the full-length RsmZ architecture remain elusive, leading to the lack of understanding of RsmZ binding to RsmA and subsequent modulations of gene expressions. Here we use cryo-electron microscopy (cryo-EM) to resolve structures of the full-length RsmZ in complexes with RsmA, in which five stem-loops (SLs) and one single-stranded junction carrying the GGA binding sites in RsmZ form three pairs of clamps, each binding to a RsmA homodimer. Disruptions of the base-pairings in all stems of RsmZ significantly reduced the binding affinity to RsmA by 17-fold, which resulted in enhanced RsmA downregulation of gene expressions and phenotypes associated to both acute and chronic virulence of P. aeruginosa. Double mutations that rescued these stems of RsmZ restored the binding to RsmA by more than 5-fold, and recovered the corresponding phenotypes. Our results reveal the molecular mechanism of RsmZ regulation of P. aeruginosa virulence and suggest RsmZ as a potential target for the development of new antimicrobial agents.

microbiology↗

bioRxiv2022

A compendium of genetic regulatory effects across pig tissues

The Farm animal Genotype-Tissue Expression (FarmGTEx, https://www.farmgtex.org/) project has been established to develop a comprehensive public resource of genetic regulatory variants in domestic animal species, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biology discovery and exploitation in animal breeding and human biomedicine. Here we present results from the pilot phase of PigGTEx (http://piggtex.farmgtex.org/), where we processed 9,530 RNA-sequencing and 1,602 whole-genome sequencing samples from pigs. We build a pig genotype imputation panel, characterize the transcriptional landscape across over 100 tissues, and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We study interactions between genotype and breed/cell type, evaluate tissue specificity of regulatory effects, and elucidate the molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying about 80% of the genetic associations for 207 pig complex phenotypes, and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, corroborating the importance of pigs as a human biomedical model.

genomics↗

bioRxiv2022

Deciphering Spatial Domains by Integrating Histopathological Image and Transcriptomics via Contrastive Learning

Recent advances in spatial transcriptomics have enabled measurements of gene expression at cell/spot resolution meanwhile retaining both the spatial information and the histopathological images of the tissues. Deciphering the spatial domains of spots in the tissues is a vital step for various downstream tasks in spatial transcriptomics analysis. Existing methods have been developed for this purpose by combining gene expression and histopathological images to conquer noises in gene expression. However, current methods only use the histopathological images to construct spot relations without updating in the training stage, or simply concatenate the information from gene expression and images into one feature vector. Here, we propose a novel method ConGI to accurately decipher spatial domains by integrating gene expression and histopathological images, where the gene expression is adapted to image information through contrastive learning. We introduce three contrastive loss functions within and between modalities to learn the common semantic representations across all modalities while avoiding their meaningless modality-private noise information. The learned representations are then used for deciphering spatial domains through a clustering method. By comprehensive tests on tumor and normal spatial transcriptomics datasets, ConGI was shown to outperform existing methods in terms of spatial domain identification. More importantly, the learned representations from our model have also been used efficiently for various downstream tasks, including trajectory inference, clustering, and visualization.

bioinformatics↗

bioRxiv2022

A Meta-learning based Graph-Hierarchical Clustering Method for Single Cell RNA-Seq Data

Single cell sequencing techniques enable researchers view complex bio-tissues from a more precise perspective to identify cell types. However, more and more recent works have been done to find more detailed subtypes within already known cell types. Here, we present MeHi-SCC, a method which utilized meta-learning protocol and brought in multi scRNA-seq datasets information in order to assist graph-based hierarchical sub-clustering process. In result, MeHi-SCC outperformed current-prevailing scRNA clustering methods and successfully identified cell subtypes in two large scale cell atlas. Our codes and datasets are available online at https://github.com/biomed-AI/MeHi-SCC

bioinformatics↗

bioRxiv2022

Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is an immunogenic tumor and investigating the immunorelated genes is of great significance. To investigate the immunoprognostic genes of ccRCC, we analyzed the data assimilated from a public database (The Cancer Genome Atlas (TCGA) database and the gene expression omnibus (GEO) database) using bioinformatics. Then, a immunoprognosis model was constructed to identify 4 hub genes with moderate predictive values for the prognosis of ccRCC patients. Interestingly, these 4 genes were associated with the prognosis of ccRCC patients based on Oncomine and Gena Expression Profiling Interactive Analysis (GEPIA) databases. The correlation analysis between the immune infiltrate, immune checkpoints, and immunotherapy and this immunoprognosis model showed that immune infiltrate and could predict the immunotherapy effects. We also conducted a quantitative real-time polymerase chain reaction analysis and found that the expressions of 3 hub genes were associated with tumor progression (P<0.1). In conclusion, 4 genes that may serve as potential biomarkers in ccRCC were identified with respect to prognosis.

cancer biology↗

bioRxiv2022

TLR4/NF-κB Signaling Contributes to the Inflammation in Ovary and Inguinal Fats of Polycystic Ovary Syndrome

BackgroundPolycystic ovary syndrome (PCOS) is a complex reproductive endocrine disorder. It has highly heterogeneous clinical manifestations which are characterized by biochemical hyperandrogenemia, obesity, insulin resistance, dyslipidemia, anovulation, and polycystic ovaries. However, the etiologies of PCOS are still unclear. Recently, studies have found that the low-grade inflammation contributed to the occurrence of PCOS, and as a critical biomarker indicated the endocrine disruptions in PCOS. ObjectiveThis study is aimed to investigate the processes and mediators of inflammation in contributing to the development of PCOS. MethodsLetrozole (LET) induced PCOS rat model was used in this study. Body weight, body temperature, inguinal fats weight, fasting glucose level, ovarian morphology, NF-{kappa}B signaling target genes in ovary, and protein expression levels of TLR4 and NF-{kappa}B in ovarian and inguinal fats were measured in rats with placebo and LET administrations for 6 and 12 weeks. ResultsPCOS rats, especially with LET intervention for 12 weeks, had higher body weight, inguinal fats weight and fasting glucose level compared to control group. The protein expression levels of TLR4 and NF-{kappa}B in cytoplasm of ovarian and inguinal fats were increased in LET-induced PCOS rats compared to control groups, while NF-{kappa}B in nucleus were reduced in PCOS rats. The expressions of ACTB, C3, CXCL3, NQO1 and SELP in ovarian were statistically different in PCOS rats induced by LET compared to control groups. ConclusionThese findings indicated that stimulating TLR4/NF-{kappa}B pathway in inguinal fats and ovary tissues contributed to the increased inflammation in LET-induced PCOS rats, which, in turn, exacerbated the phenotype of PCOS including weight gain, adipose tissue accumulation, hyperglycemia and follicular dysplasia.

pathology↗

bioRxiv2022

Fossil-explorer.com: An efficient interactive approach to exploring fossil data

Fossils today are increasingly being digitized and documented by multi-modal data obtained from visual data (i.e., photos and tomographic images), as well as text, locations, geological ages, and other chemical and physical measurements. Popular online websites such as PBDB and GBDB offer visual explorations of specimens localities, but they have limited multi-modal data visualization abilities and face challenges related to visual obscuration and insufficient interaction/exploration. Here, we present fossil-explorer.com, a continuously developing open-source online tool for assisting paleontologists with interactively exploring fossil collections. The tool is designed to address the issues of visual clutter, limited data types, and insufficient interactions. It is intuitive and endorsed by paleontologists. We have also quantitatively evaluated the tool by measuring the interaction scaling performance. The results show that it provides sublinear interaction performance and thus is able to deal efficiently with millions-level data. The current fossil-explorer.com demonstrates the Ordovician to Silurian graptolite fossil multimedia dataset, which is significant in global stratigraphy and shale gas exploration. The extended version also facilitates the use of Deepbone (http://deepbone.org), worlds most comprehensive database of vertebrate paleontology database. We developed the code for fossil-explorer.com to be open access and will continue to improve it.

paleontology↗

bioRxiv2022

The transcription factor RXRA regulates lipid metabolism in duck myoblasts by the CD36 network

Lipid metabolism is a highly complex metabolic process regulated at multiple levels. RXRA is a well-characterized factor that regulates lipid metabolism. To explore the function and mechanism of the transcription factor RXRA in myoblasts, and to further explore the key factors that RXRA regulates the target gene CD36 signaling network to regulate lipid metabolism. We found that the transcription factor RXRA inhibited the accumulation of triglycerides (TGs), cholesterol (CHOL) and non-esterified fatty acids (NEFA) in CS2 cells by regulating CD36 as well as the fatty acid beta oxidation pathway. CD36 functions similar to RXRA in myoblasts. CD36 overexpression reduced the levels of TGs, CHOL, NEFAs and saturated fatty acids (SFAs) in these cells, while CD36 knockout increased the levels of TGs, CHOL, NEFAs, SFAs and monounsaturated fatty acids (MUPAs) in these cells. GRB2, MAP1B, SLC38A1, SLC4A7, NCOA3, PKIA, MOB2, SAA2 and RXRA are involved in the CD36 promotion of lipid efflux through lipid metabolism, endocytosis and amino acid metabolism. Considering these results, we propose that RXRA regulates lipid metabolism in myoblasts by regulating the CD36 signaling network.

molecular biology↗

bioRxiv2022

Modulation of the gut microbiome by novel synthetic glycans for the production of propionate and the reduction of cardiometabolic risk factors

BackgroundIncreasing evidence indicates that an altered gut microbiome participates in the development of cardiometabolic syndrome and associated risk factors, such as insulin resistance, dyslipidemia, and obesity, and that targeting the gut microbiome is a promising strategy to lower the risk for cardiometabolic diseases. Part of this reduction is mediated by specific metabolites generated by the gut microbiome. Propionate, a short-chain fatty acid (SCFA) produced from dietary glycans by certain gut microbes is known to exert multiple beneficial metabolic effects. Here, we identify KB39, a novel gut microbiome-targeting synthetic glycan selected for its strong propionate-producing capacity, and demonstrate its effects in vivo to reduce cardiometabolic disease using western diet-fed LDL receptor knock-out mice. MethodsEx vivo fermentation screening of a large library of synthetic glycan ensembles was performed using gut microbiome communities from healthy subjects and overweight patients with type 2 diabetes. A synthetic glycan identified for its high propionate-producing capacity (KB39) was then tested in vivo for effects on systemic, blood and cecal metabolic parameters in Ldlr-/- mice fed a western diet. ResultsEx vivo screening of ~600 synthetic glycans using human gut microbiota from healthy subjects and patients with type 2 diabetes identified a novel glycan (KB39) with high propionate-producing capacity that increased propionate contribution to total SCFA and propionate-producing bacterial taxa compared to negative control. In western diet-fed Ldlr-/- mice, KB39 treatment resulted in an enrichment in propiogenic bacteria and propionate biosynthetic genes in vivo and an increase in absolute and relative amounts of propionate in the cecum. This also resulted in significant decreases in serum total cholesterol, LDL-cholesterol, and insulin levels, as well as reduced hepatic triglycerides and cholesterol content compared to non-treated animals. Importantly, KB39 treatment significantly reduced atherosclerosis, liver steatosis and inflammation, upregulated hepatic expression of genes involved in fatty acid oxidation and downregulated transcriptional markers of inflammation, fibrosis and insulin resistance with only a mild lowering of body weight gain. ConclusionsOur data show that KB39, a novel synthetic glycan supporting a high propionate-producing microbiome, can reduce cardiometabolic risk factors and disease in mice and suggest this approach could be of benefit for the prevention or treatment of cardiometabolic diseases in humans. CLINICAL PERSPECTIVEWhat is new? O_LIA novel synthetic glycan, KB39, was selected from a library of compounds for its high propionate-producing capacity and beneficial effects on the human gut microbiome composition C_LIO_LIKB39 modulates the gut microbiome for high propionate production and significantly reduces cardiometabolic risk factors and disease in a murine model of cardiometabolic diseases C_LI What are the clinical implications? O_LIKB39, delivered orally, could be of benefit for the prevention or treatment of cardiometabolic diseases in humans C_LIO_LIThe efficacy of KB39 in mice compared to the clinical drug fenofibrate justifies further study in humans C_LI

microbiology↗

bioRxiv2022

Building an atlas of transposable elements reveals the extensive roles of young SINE in gene regulation, genetic diversity, and complex traits in pigs

Transposable elements (TEs) are an extensive source of genetic polymorphisms and play an indispensable role in chromatin architecture, transcriptional regulatory networks, and genomic evolution. The pig is an important source of animal protein and serves as a biomedical model for humans, yet the functional role of TEs in pigs and their contributions to complex traits are largely unknown. Here, we built a comprehensive catalog of TEs (n = 3,087,929) in pigs by a newly developed pipeline. Through integrating multi-omics data from 21 tissues, we found that SINEs with different ages were significantly associated with genomic regions with distinct functions across tissues. The majority of young SINEs were predominantly silenced by histone modifications, DNA methylation, and decreased accessibility. However, the expression of transcripts that were derived from the remaining active young SINEs exhibited strong tissue specificity through cross-examining 3,570 RNA-seq from 79 tissues and cell types. Furthermore, we detected 211,067 polymorphic SINEs (polySINEs) in 374 individuals genome-wide and found that they clearly recapitulated known patterns of population admixture in pigs. Out of them, 340 population-specific polySINEs were associated with local adaptation. Mapping these polySINEs to genome-wide associations of 97 complex traits in pigs, we found 54 candidate genes (e.g., ANK2 and VRTN) that might be mediated by TEs. Our findings highlight the important roles of young SINEs in functional genomics and provide a supplement for genotype-to-phenotype associations and modern breeding in pigs.

genomics↗

bioRxiv2022

Quantitative proteomics of the CDK9 interactome reveals a novel function of the HSP90-CDC37-P-TEFb complex for BETi-induced HIV-1 latency reactivation

Brd4 has been intensively investigated as a promising drug target because of its implicated functions in oncogenesis, inflammation and HIV-1 transcription. The formation of the Brd4-P-TEFb (CDK9/Cyclin T1) complex and its regulation of transcriptional elongation is critical for HIV latency reactivation and expression of many oncogenes. To further investigate the mechanism of the Brd4-P-TEFb complex in controlling elongation, mass spectrometry-based quantitative proteomics of the CDK9 interactome was performed. Upon treatment with the selective BET bromodomain inhibitor (BETi) JQ1, 535 proteins were successfully identified with high confidence as CDK9-interacting proteins. Among them, that increased bindings of HSP90 and CDC37 to CDK9 were particularly striking, and our data suggest that the HSP90-CDC37-P-TEFb complex is involved in controlling P-TEFbs dynamic equilibrium during BETi-induced HIV-1 latency reactivation. Furthermore, the HSP90-CDC37-P-TEFb complex directly regulates HIV-1 transcription and relies on the recruitment by heat shock factor 1 (HSF1) for binding to the HIV-1 promoter. These results advance the understanding of HSP90-CDC37-P-TEFb in HIV-1 latency reversal and enlighten the development of potential strategies to eradicate HIV-1 using a combination of targeted drugs.

molecular biology↗