Evidence map›Paper›PMID 35250265›Full record

ArticleBioinformatics and biology insights2022

Decoding Human Genome Regulatory Features That Influence HIV-1 Proviral Expression and Fate Through an Integrated Genomics Approach.

Holly Ruess, Jeon Lee, Carlos Guzman, Venkat S Malladi, Iván D'Orso

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 55% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

5 authors at 2 institutions in 1 country.

Holly RuessLyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0001-9148-6672
Jeon LeeLyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-9071-7157
Carlos GuzmanDepartment of Microbiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Venkat S MalladiLyda Hill Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-0144-0564
Iván D'OrsoDepartment of Microbiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID https://orcid.org/0000-0002-1409-2351
The University of Texas Southwestern Medical Center · USUniversity of California San Diego · US

Funding

Transcriptional regulatory mechanisms shaping HIV proviral fateR01AI114362 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI D'ORSO, IVAN · 2015 to 2024
$4.6M
Transcriptional regulatory mechanisms shaping HIV proviral fateR37AI114362 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI Ivan D'Orso · 2025 to 2026
$1.0M
NIAID NIH HHS R37 AI114362
6 · The paper itself

Abstract

Fundamental principles of HIV-1 integration into the human genome have been revealed in the past 2 decades. However, the impact of the integration site on proviral transcription and expression remains poorly understood. Solving this problem requires the analysis of multiple genomic datasets for thousands of proviral integration sites. Here, we generated and combined large-scale datasets, including epigenetics, transcriptome, and 3-dimensional genome architecture to interrogate the chromatin states, transcription activity, and nuclear sub-compartments around HIV-1 integrations in Jurkat CD4

Indexed as

ChromHMMData integrationenhancersgenomicsHIV-1human genomeintegrationsub-compartmentstranscription

Identifiers

PMID35250265
PMCPMC8891870
OpenAlexW4214761852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.