Dataset Information

Systematic Discovery of Pro- and Anti-HIV Host Factors in Primary Human CD4+ T Cells

ABSTRACT: Despite extensive efforts, significant gaps remain in our understanding of which host factors promote or restrict human immunodeficiency virus (HIV) infection in human CD4+ T cells. Here, we employed orthogonal genome-wide CRISPR activation (CRISPRa) and CRISPR knockout (CRISPRn) screens in primary CD4+ T cells to discover both pro- and anti-HIV host factors systematically. We used secondary pooled screens and targeted individual CRISPR perturbations to validate high-confidence hits and reveal their diverse mechanisms of action. CRISPRa notably revealed potent antiviral factors, including PI16, PPID, SHISA3, and ITM2A – many of which would have been missed by gene knockout experiments alone. When PI16 is overexpressed in CD4+ T cells, it physically interacts with CD4 and numerous HIV host factors involved in viral fusion, and efficiently inhibits HIV entry. We also discovered another novel antiviral factor, PPID (Cyp40). PPID is a paralog of CypA (or PPIA), which is a proviral factor that regulates nuclear entry kinetics of HIV cores. PPID also binds to HIV capsid, but unlike CypA, it restricts infection by blocking nuclear import of the viral core. Structural modeling, evolutionary analyses, and targeted mutagenesis identified domains and residues that mediate restriction of HIV by PPID, including specific substitutions from non-human primate orthologs that improve HIV restriction. Together, our data systematically define the functional HIV-host interaction landscape in primary human T cells and reveal new mechanisms to modulate infection.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): T Cell, Blood

DISEASE(S): Human Immunodeficiency Virus Infectious Disease

SUBMITTER: Robyn Kaake

LAB HEAD: Alexander Marson

PROVIDER: PXD071892 | Pride | 2026-04-27

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 25

Publications

Systematic discovery of pro- and anti-HIV host factors in primary human CD4+ T cells.

Rathore Ujjwal U Dugan Eli E Thornton Hunter H Kumar Vigneshwari Easwar VE Dajani Rama R Burdick Ryan C RC Young Janet M JM Steinhart Zachary Z Lao Reanna R Delviks-Frankenberry Krista A KA Choi Wooyoung W Henriques William S WS Echeverria Ignacia I Dann Emma E Dureja Ishaan I Pathak Nandini N Arce Maya M MM McKetney Justin J Umhoefer Jennifer M JM Parulekar Simrun S Schmidt Ralf R Polacco Benjamin J BJ Neidleman Jason J Montano Mauricio M Nguyen Vinh Q VQ Sali Andrej A Levy Jay A JA Tenthorey Jeannette L JL Cheng Yifan Y Roan Nadia R NR Swaney Danielle L DL Kaake Robyn M RM Dodgson Stacie E SE Hiatt Joseph J Pathak Vinay K VK Malik Harmit S HS Krogan Nevan J NJ Marson Alexander A

Cell 20260420

Host factors that promote or restrict human immunodeficiency virus (HIV) infection in human CD4+ T cells have not been comprehensively identified. We employed orthogonal genome-wide CRISPR activation (CRISPRa) and CRISPR knockout screens in primary CD4+ T cells to discover pro- and anti-HIV host factors systematically. Secondary pooled screens and individual perturbations validated high-confidence hits and revealed diverse mechanisms of action. CRISPRa uncovered multiple potent antiviral factors ...[more]

PMID: 42013838

Similar Datasets

Project description:T cell activation leads to dramatic changes in cellular phenotype. We used CD3/CD28-activated human CD4 T cells to study how RNA binding proteins define the post-transcriptional landscape. Using RIPseq, we identified the RNA interactome of U2AF2 and show at the global level that U2AF2 binds the majority of transcripts that are differentially expressed and/or alternatively spliced during CD4 T cell activation. A unique protein interactome centered on U2AF2 is assembled in response to activation. Knocking down specific U2AF2 interacting partners (U2AF1, SYNCRIP, SRRM2, ILF2) selectively affects cytokine secretion and expression of activation markers. Furthermore, the expression and/or alternative splicing of transcripts important for immune cell function are also affected by knocking down these U2AF2 interacting proteins. U2AF1 and SYNCRIP knockdowns affect the proteins and transcripts bound to U2AF2, altering the transcriptome. Our work highlights the importance of RNA binding protein complexes in regulating the differential expression and alternative splicing that defines T cell activation. HTA 2.0 microarray results of total from a primary CD4 T cell culture after treatment with siRNAs (Control, U2AF1, SRRM2, SYNCRIP, and ILF2) and 24 hours after anti-CD3/CD28 bead activation Please note that the Series supplementary 'TotalRNA_HTA2_all_siRNA_100414.xslx' file has multiple worksheets containing: 1) Differentially expressed genes in ctrl siRNA vs. U2AF1 siRNA; 2) Differntially spliced genes in ctrl siRNA vs. U2AF1 siRNA; 3) Differentially spliced exons in ctrl siRNA vs. U2AF1 siRNA; 4) Differentially expressed genes in ctrl siRNA vs. SRRM2 siRNA; 5) Differntially spliced genes in ctrl siRNA vs. SRRM2 siRNA; 6) Differentially spliced exons in ctrl siRNA vs. SRRM2 siRNA; 7) Differentially expressed genes in ctrl siRNA vs. SYNCRIP siRNA; 8) Differntially spliced genes in ctrl siRNA vs. SYNCRIP siRNA; 9) Differentially spliced exons in ctrl siRNA vs. SYNCRIP siRNA; 10) Differentially expressed genes in ctrl siRNA vs. ILF2 siRNA; 11) Differntially spliced genes in ctrl siRNA vs. ILF2 siRNA; 12) Differentially spliced exons in ctrl siRNA vs. ILF2 siRNA

Project description:Although HIV-1 can directly infect resting CD4+ T cells, virus replication in resting CD4+T cells is very inefficient owing to the different host restriction factors blocking viral replication. The accessory protein Vpx from the major simian immunodeficiency virus (SIV) of rhesus macaque (mac) and HIV-2 lineage could degrade a host restriction factor, SAM and HD domain containing protein 1 (SAMHD1), to facilitate HIV reverse transcription. Interestingly, Vpx proteins from a second SIV lineage, the SIV of redcapped mangabeys or mandrills (SIVrcm/nmd-2), had no effect on SAMHD1 and did not affect the dNTP pool, but strongly increased HIV-1 infection in resting CD4+ T cells although not in primary macrophages. This indicates that Vpx, in addition to SAMHD1,can overcome a previously unexplored restriction factor for lentiviruses. Here to identify this potential restriction factor, we examined Vpxrcm-interacting cellular proteins and found that keratin 72 (KRT72), an intermediate filament protein that is exclusively expressed in resting CD4+ T cells, is a new host antiviral factor targeted by Vpx. Other than Vpx from SIV mac and HIV-2, the Vpxrcm/nmd-2 lineage, which had no effect on the SAMHD1 protein, could strongly promote the degradation of KRT72, resulting in enhanced HIV-1 infection in resting CD4+ T cells. Furthermore, we discovered that KRT72 restricts HIV-1 replication by sequestering incoming HIV-1 capsids in cytoplasmic intermediate filaments (IFs). In the presence of KRT72, HIV-1 capsid cores become attached to the IF and their trafficking toward the nucleus is inhibited. In contrast, in the absence of KRT72, HIV-1 capsids are transported into the nucleus,leading to high levels of integrated HIV-1 DNA. In addition, KRT72 expression was substantially higher in resting CD4+ T cells than in activated CD4+ T cells, and it was rapidly reduced by T cell activation. Collectively, the results show that KRT72 is a new Vpx-counteracted host antiviral factor that acts to tether incoming capsids to the cytoplasmic IF, thereby restricting HIV-1 infection in resting CD4+ T cells.

Project description:Recently, several neutralizing anti-HIV antibodies have been isolated from memory B cells of HIV-infected individuals. However, despite extensive evidence of B-cell dysfunction in HIV disease, little is known about the cells from which these rare HIV-specific antibodies originate. Accordingly, HIV envelope gp140 and CD4 or co-receptor (CoR) binding site (bs) mutant probes were used to evaluate HIV-specific responses in the peripheral blood B cells of individuals at various stages of infection. In contrast to non-HIV responses, HIV-specific responses against gp140 were enriched within abnormal B cells, namely activated and exhausted memory subsets, which are largely absent in the blood of uninfected individuals. Responses against the CoRbs (a poorly-neutralizing epitope) arose early whereas those against the CD4bs (a well-characterized neutralizing epitope) were delayed and infrequent. Enrichment of the HIV-specific response within resting memory B cells, the predominant subset in uninfected individuals, did occur in certain infected individuals who maintained low levels of plasma viremia and immune activation with or without antiretroviral therapy. These findings were corroborated by transcriptional profiles. Taken together, our findings provide valuable insight into virus-specific B-cell responses in HIV infection and demonstrate that memory B-cell abnormalities may contribute to the ineffectiveness of the antibody response in infected individuals. HIV-specific responses against gp140 were enriched within abnormal B cells, namely activated (AM) and exhausted (tissue-like; TLM) memory subsets, which are largely absent in the blood of uninfected individuals. These responses are highest during the early stage of HIV infection, significantly decreased following the initiation of antiretroviral therapy (ART), and most importantly, enriched in normal resting memory B cells (RM) when HIV viremia and immune activation are controlled either naturally or as a result of ART. These HIV-specific B cells (AM and TLM) and resting memory B cells (RM) were sorted from peripheral blood mononuclear cells (PBMCs) of 6 HIV infected individuals. In addition, gp140-specific IgG+ B cells were sorted from individuals with either a strong (n= 6) or weak (n= 6) pro-resting memory profile. TaqMan gene expression assay was performed on these HIV-specific B cells and B cell subset. The array consisted of 29 genes.

Project description:Wodarz2007 - HIV/CD4 T-cell interaction A deterministic model illustrating how CD4 T-cells can influence HIV infection. This model is described in the article: Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? Wodarz D, Hamer DH. Math Biosci 2007 Sep; 209(1): 14-29 Abstract: Recent experimental data have shown that HIV-specific CD4 T cells provide a very important target for HIV replication. We use mathematical models to explore the effect of specific CD4 T cell infection on the dynamics of virus spread and immune responses. Infected CD4 T cells can provide antigen for their own stimulation. We show that such autocatalytic cell division can significantly enhance virus spread, and can also provide an additional reservoir for virus persistence during anti-viral drug therapy. In addition, the initial number of HIV-specific CD4 T cells is an important determinant of acute infection dynamics. A high initial number of HIV-specific CD4 T cells can lead to a sudden and fast drop of the population of HIV-specific CD4 T cells which results quickly in their extinction. On the other hand, a low initial number of HIV-specific CD4 T cells can lead to a prolonged persistence of HIV-specific CD4 T cell help at higher levels. The model suggests that boosting the population of HIV-specific CD4 T cells can increase the amount of virus-induced immune impairment, lead to less efficient anti-viral effector responses, and thus speed up disease progression, especially if effector responses such as CTL have not been sufficiently boosted at the same time. This model is hosted on BioModels Database and identified by: BIOMD0000000663. To cite BioModels Database, please use: Chelliah V et al. BioModels: ten-year anniversary. Nucl. Acids Res. 2015, 43(Database issue):D542-8. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

			Action	DRS
	AcquisitionParameters.xlsx	Xlsx
	Metadata.xlsx	Xlsx
	SAINTexpressPPIScoring.xlsx	Xlsx
	checksum.txt	Txt
	evidence.txt	Txt