Evidence map›Paper›PMID 34635773›Full record

ArticleCommunications biology2021

Features of repertoire diversity and gene expression in human cytotoxic T cells following allogeneic hematopoietic cell transplantation.

Hideki Nakasone, Machiko Kusuda, Kiriko Terasako-Saito, Koji Kawamura, Yu Akahoshi, Masakatsu Kawamura, Junko Takeshita, Shunto Kawamura, Nozomu Yoshino, Kazuki Yoshimura and 8 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

18 authors at 1 institution in 1 country.

Hideki NakasoneDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan. nakasone-tky@umin.ac.jp.ORCID 0000-0001-5812-9315
Machiko KusudaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Kiriko Terasako-SaitoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Koji KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yu AkahoshiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.ORCID 0000-0001-6825-9340
Masakatsu KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Junko TakeshitaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shunto KawamuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Nozomu YoshinoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Kazuki YoshimuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yukiko MisakiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Ayumi GomyoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Kazuaki KamedaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Masaharu TamakiDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Aki TaniharaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shun-Ichi KimuraDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Shinichi KakoDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Yoshinobu KandaDivision of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan. ycanda-tky@umin.ac.jp.ORCID 0000-0002-4866-9307
Jichi Medical University · JP

Funding

Japan Agency for Medical Research and Development (AMED) JP17fm0208015Japan Agency for Medical Research and Development (AMED) JP20ck0106479h
6 · The paper itself

Abstract

Cytomegalovirus reactivation is still a critical concern following allogeneic hematopoietic cell transplantation, and cellular immune reconstitution of cytomegalovirus-specific cytotoxic T-cells is necessary for the long-term control of cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation. Here we show the features of repertoire diversity and the gene expression profile of HLA-A24 cytomegalovirus-specific cytotoxic T-cells in actual recipients according to the cytomegalovirus reactivation pattern. A skewed preference for BV7 genes and sequential "G" amino acids motif is observed in complementarity-determining region-3 of T cell receptor-β. Increased binding scores are observed in T-cell clones with complementarity-determining region-3 of T cell receptor-β with a "(G)GG" motif. Single-cell RNA-sequence analyses demonstrate the homogenous distribution of the gene expression profile in individual cytomegalovirus-specific cytotoxic T-cells within each recipient. On the other hand, bulk RNA-sequence analyses reveal that gene expression profiles among patients are different according to the cytomegalovirus reactivation pattern, and are associated with cytokine production or cell division. These methods and results can help us to better understand immune reconstitution following hematopoietic cell transplantation, leading to future studies on the clinical application of adoptive T-cell therapies.

Indexed as

Gene ExpressionHematopoietic Stem Cell TransplantationCytomegalovirusHumansT-Lymphocytes, Cytotoxic

Identifiers

PMID34635773
PMCPMC8505416
OpenAlexW3205050544

What OpenQuestion holds

Textmetadata
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.