Evidence map›Paper›PMID 36579714›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2023

Characterization of proteogenomic signatures of differentiation of CD4+ T cell subsets.

Toshio Kanno, Ryo Konno, Keisuke Miyako, Takahiro Nakajima, Satoru Yokoyama, Shigemi Sasamoto, Hikari K Asou, Junichiro Ohzeki, Yusuke Kawashima, Yoshinori Hasegawa and 2 more

Open access · goldAbstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Toshio KannoDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Ryo KonnoDepartment of Applied Genomics Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Keisuke MiyakoDepartment of Applied Genomics Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Takahiro NakajimaDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Satoru YokoyamaDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Shigemi SasamotoDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Hikari K AsouDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Junichiro OhzekiDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Yusuke KawashimaDepartment of Applied Genomics Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Yoshinori HasegawaDepartment of Applied Genomics Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Osamu OharaDepartment of Applied Genomics Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.
Yusuke EndoDepartment of Frontier Research and Development, Laboratory of Medical Omics Research, Kazusa DNA Research Institute, Kisarazu, Chiba 292-0818, Japan.ORCID 0000-0002-7223-1938
Kazusa DNA Research Institute · JPChiba University · JP

Funding

Advancement of BiochemistryCell Science Research FoundationChallenging Research #20K21618Early-Career Scientists #21K15476Grant-in-Aid for Scientific Research on Innovative Areas #18H04665Kanae Foundation for the Promotion of Medical ScienceKato Memorial Bioscience FoundationKishimoto Foundation 2019Koyanagi FoundationMinistry of Education, Culture, Sports, Science and TechnologyMochida Memorial Foundation for Medical and Pharmaceutical ResearchMSD Life Science FoundationNAGASE Science Technology FoundationNakatomi FoundationONO Medical Research FoundationPublic Interest Incorporated FoundationResearch Foundation for Pharmaceutical Sciences Group AResearch Grant of the Princess Takamatsu Cancer Research FundScientific Research #20H03455SENSHIN Medical Research FoundationSumitomo FoundationSuzuken Memorial FoundationTakeda Science FoundationTERUMO Life Science FoundationThe Astellas Foundation for Research on Metabolic DisordersThe Canon FoundationThe Hamaguchi FoundationThe Nakajima FoundationThe Tokyo Biochemical Research FoundationThe Yasuda Medical FoundationToray Science FoundationUehara Memorial FoundationYoung Scientists #21K20766
6 · The paper itself

Abstract

Functionally distinct CD4+ helper T (Th) cell subsets, including Th1, Th2, Th17, and regulatory T cells (Treg), play a pivotal role in the regulation of acquired immunity. Although the key proteins involved in the regulation of Th cell differentiation have already been identified how the proteogenomic landscape changes during the Th cell activation remains unclear. To address this issue, we characterized proteogenomic signatures of differentiation to each Th cell subsets by RNA sequencing and liquid chromatography-assisted mass spectrometry, which enabled us to simultaneously quantify more than 10,000 protein-coding transcripts and 8,000 proteins in a single-shot. The results indicated that T cell receptor activation affected almost half of the transcript and protein levels in a low correlative and gene-specific manner, and specific cytokine treatments modified the transcript and protein profiles in a manner specific to each Th cell subsets: Th17 and Tregs particularly exhibited unique proteogenomic signatures compared to other Th cell subsets. Interestingly, the in-depth proteome data revealed that mRNA profiles alone were not enough to delineate functional changes during Th cell activation, suggesting that the proteogenomic dataset obtained in this study serves as a unique and indispensable data resource for understanding the comprehensive molecular mechanisms underlying effector Th cell differentiation.

Indexed as

CD4-Positive T-LymphocytesProteogenomicsCell DifferentiationT-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsCD4 T cellimmunologyliquid chromatography-assisted mass spectrometryproteogenomicsRNA sequencing

Identifiers

PMID36579714
PMCPMC9886070
OpenAlexW4313241201

What OpenQuestion holds

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LicenceCC BY
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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.