Evidence map›Paper›PMID 39746113›Full record

ArticlePLoS computational biology2025

Integrative analysis of ATAC-seq and RNA-seq for cells infected by human T-cell leukemia virus type 1.

Azusa Tanaka, Yasuhiro Ishitsuka, Hiroki Ohta, Norihiro Takenouchi, Masanori Nakagawa, Ki-Ryang Koh, Chiho Onishi, Hiromitsu Tanaka, Akihiro Fujimoto, Jun-Ichirou Yasunaga and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. 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
–field-weighted citation impact
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.

  1. Review
  2. Review
  3. Article
  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

11 authors.

Azusa TanakaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0503-4176
Yasuhiro IshitsukaInstitute of Mathematics for Industry, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-4461-6152
Hiroki OhtaDepartment of Human Sciences, Obihiro University of Agriculture and Veterinary Medicine, Hokkaido, Japan.ORCID 0000-0002-8815-9037
Norihiro TakenouchiDepartment of Microbiology, Kansai Medical University, Osaka, Japan.
Masanori NakagawaDepartment of Neurology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Ki-Ryang KohDepartment of Hematology, Osaka General Hospital of West Japan Railway Company, Osaka, Japan.
Chiho OnishiLaboratory of Ultrastructural Virology, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Hiromitsu TanakaDepartment of Biophysics, Graduate school of Science, Kyoto University, Kyoto, Japan.
Akihiro FujimotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0075-0800
Jun-Ichirou YasunagaDepartment of Hematology, Rheumatology and Infectious Disease, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-7939-2080
Masao MatsuokaDepartment of Hematology, Rheumatology and Infectious Disease, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.ORCID 0000-0002-0473-754X

Funding

Japan Agency for Medical Research and Development (AMED)JSPS Core-to-Core Program A, Advanced Research NetworksKAKENHINaito FoundationResearch Program on Emerging and Re-emerging Infectious Diseases
6 · The paper itself

Abstract

Human T-cell leukemia virus type 1 (HTLV-1) causes adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy (HAM) after a long latent period in a fraction of infected individuals. These HTLV-1-infected cells typically have phenotypes similar to that of CD4+T cells, but the cell status is not well understood. To extract the inherent information of HTLV-1-infected CD4+ cells, we integratively analyzed the ATAC-seq and RNA-seq data of the infected cells. Compared to CD4+T cells from healthy donors, we found anomalous chromatin accessibility in HTLV-1infected CD4+ cells derived from ATL cases in terms of location and sample-to-sample fluctuations in open chromatin regions. Further, by focusing on systematically selected genes near the open chromatin regions, we quantified the difference between the infected CD4+ cells in ATL cases and healthy CD4+T cells in terms of the correlation between the chromatin structures and the gene expressions. Based on a further analysis of chromatin accessibility, we detected TLL1 (Tolloid Like 1) as one of the key genes that exhibit unique gene expressions in ATL cases. A luciferase assay indicated that TLL1 has an isoform-dependent regulatory effect on TGF-β. Overall, this study provides results about the status of HTLV-1-infected cells, which are qualitatively consistent across the different scales of chromatin accessibility, transcription, and immunophenotype.

Indexed as

HTLV-I InfectionsHuman T-lymphotropic virus 1RNA-SeqCD4-Positive T-LymphocytesChromatinChromatin Immunoprecipitation SequencingComputational BiologyHumansLeukemia-Lymphoma, Adult T-CellChromatin

Identifiers

PMID39746113
PMCPMC11753684

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Registered trials

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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.