Evidence map›Paper›PMID 36605190›Full record

ArticleFrontiers in immunology2022

Barcode clonal tracking of tissue-resident immune cells in rhesus macaque highlights distinct clonal distribution pattern of tissue NK cells.

Chuanfeng Wu, Jialiu A Liang, Jason M Brenchley, Taehoon Shin, Xing Fan, Ryland D Mortlock, Diana M Abraham, David S J Allan, Marvin L Thomas, So Gun Hong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

7 citing papers in PubMed, 3 citations in OpenAlex.

  1. Immunophenotyping Studies in Nonhuman Primate Models.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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 at 3 institutions in 1 country.

Chuanfeng WuTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Jialiu A LiangTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Jason M BrenchleyBarrier Immunity Section, Lab of Viral Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States.
Taehoon ShinTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Xing FanTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Ryland D MortlockTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Diana M AbrahamTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
David S J AllanCellular and Molecular Therapeutics Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Marvin L ThomasDivision of Veterinary Resources, Office of Research Services, National Institutes of Health, Bethesda, MD, United States.
So Gun HongTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
Cynthia E DunbarTranslational Stem Cell Biology Branch, National Heart, Lung, and Blood Institute, National Institutes of Health (NIH), Bethesda, MD, United States.
National Heart Lung and Blood Institute · USNational Institutes of Health · USOffice of Research Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue resident (TR) immune cells play important roles in facilitating tissue homeostasis, coordinating immune responses against infections and tumors, and maintaining immunological memory. While studies have shown these cells are distinct phenotypically and functionally from cells found in the peripheral blood (PB), the clonal relationship between these populations across tissues has not been comprehensively studied in primates or humans. We utilized autologous transplantation of rhesus macaque hematopoietic stem and progenitor cells containing high diversity barcodes to track the clonal distribution of T, B, myeloid and natural killer (NK) cell populations across tissues, including liver, spleen, lung, and gastrointestinal (GI) tract, in comparison with PB longitudinally post-transplantation, in particular we focused on NK cells which do not contain endogenous clonal markers and have not been previously studied in this context. T cells demonstrated tissue-specific clonal expansions as expected, both overlapping and distinct from blood T cells. In contrast, B and myeloid cells showed a much more homogeneous clonal pattern across various tissues and the blood. The clonal distribution of TR NK was more heterogenous between individual animals. In some animals, as we have previously reported, we observed large PB clonal expansions in mature CD56-CD16+ NK cells. Notably, we found a separate set of highly expanded PB clones in CD16-CD56- (DN) NK subset that were also contributing to TR NK cells in all tissues examined, both in TR CD56-CD16+ and DN populations but absent in CD56

Indexed as

Killer Cells, NaturalMyeloid CellsAnimalsClone CellsMacaca mulattabarcodeB cellsNK cellsrhesus macaqueT cellstissue-resident

Identifiers

PMID36605190
PMCPMC9808525
OpenAlexW4308875885

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.