Evidence map›Paper›PMID 35203306›Full record

ArticleCells2022

Spatial and Genomic Correlates of HIV-1 Integration Site Targeting.

Parmit Kumar Singh, Gregory J Bedwell, Alan N Engelman

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 33 citations in OpenAlex.

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  8. bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Parmit Kumar SinghDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-9657-2526
Gregory J BedwellDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Alan N EngelmanDepartment of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0002-9709-2591
Harvard University · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ARTHUR Y KIM · 2004 to 2026
$94.4M
Nuclear Localization of HIV-1 Preintegration ComplexesR01AI052014 · NIAID · DANA-FARBER CANCER INSTITUTE · PI ENGELMAN, ALAN N. · 2003 to 2025
$11.4M
Postdoctoral Training Program in AIDS-related ResearchT32AI007386 · NIAID · DANA-FARBER CANCER INSTITUTE · PI CANTOR, HARVEY, ENGELMAN, ALAN N. · 1990 to 2023
$5.3M
National Institute of Allergy and Infectious Diseases 5P30AI060354NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI052014NIAID NIH HHS T32 AI007386
6 · The paper itself

Abstract

HIV-1 integrase and capsid proteins interact with host proteins to direct preintegration complexes to active transcription units within gene-dense regions of chromosomes for viral DNA integration. Analyses of spatially-derived genomic DNA coordinates, such as nuclear speckle-associated domains, lamina-associated domains, super enhancers, and Spatial Position Inference of the Nuclear (SPIN) genome states, have further informed the mechanisms of HIV-1 integration targeting. Critically, however, these different types of genomic coordinates have not been systematically analyzed to synthesize a concise description of the regions of chromatin that HIV-1 prefers for integration. To address this informational gap, we have extensively correlated genomic DNA coordinates of HIV-1 integration targeting preferences. We demonstrate that nuclear speckle-associated and speckle-proximal chromatin are highly predictive markers of integration and that these regions account for known HIV biases for gene-dense regions, highly transcribed genes, as well as the mid-regions of gene bodies. In contrast to a prior report that intronless genes were poorly targeted for integration, we find that intronless genes in proximity to nuclear speckles are more highly targeted than are spatially-matched intron-containing genes. Our results additionally highlight the contributions of capsid and integrase interactions with respective CPSF6 and LEDGF/p75 host factors in these HIV-1 integration targeting preferences.

Indexed as

HIV-1CapsidCapsid ProteinsChromatinHost-Pathogen InteractionsVirus IntegrationCapsid ProteinsChromatinCPSF6HIV/AIDSlamina-associated domainsLEDGF/p75nuclear specklesretroviral integrationspeckle-associated domains

Identifiers

PMID35203306
PMCPMC8869898
OpenAlexW4212964813

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.