Evidence map›Paper›PMID 31849937›Full record

ArticleFrontiers in immunology2019

TcellSubC: An Atlas of the Subcellular Proteome of Human T Cells.

Rubin Narayan Joshi, Charlotte Stadler, Robert Lehmann, Janne Lehtiö, Jesper Tegnér, Angelika Schmidt, Mattias Vesterlund

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. PSL-LCCL: a resource for subcellular protein localization in liver cancer cell line SK_HEP1.Database : the journal of biological databases and curation · 2022
    Article
  9. Review
  10. Review
  11. Review
  12. Protein Subcellular Localization Prediction.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  13. Organellar Maps Through Proteomic Profiling - A Conceptual Guide.Molecular & cellular proteomics : MCP · 2020
    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

7 authors at 4 institutions in 2 countries.

Rubin Narayan JoshiUnit of Computational Medicine, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital and Science for Life Laboratory, Stockholm, Sweden.
Charlotte StadlerDepartment of Protein Sciences, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden.
Robert LehmannBiological and Environmental Sciences and Engineering Division, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Janne LehtiöDepartment of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Jesper TegnérUnit of Computational Medicine, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital and Science for Life Laboratory, Stockholm, Sweden.
Angelika SchmidtUnit of Computational Medicine, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital and Science for Life Laboratory, Stockholm, Sweden.
Mattias VesterlundDepartment of Oncology and Pathology, Karolinska Institutet, Science for Life Laboratory, Solna, Sweden.
Karolinska Institutet · SEScience for Life Laboratory · SEKing Abdullah University of Science and Technology · SAKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have curated an in-depth subcellular proteomic map of primary human CD4+ T cells, divided into cytosolic, nuclear and membrane fractions generated by an optimized fractionation and HiRIEF-LC-MS/MS workflow for limited amounts of primary cells. The subcellular proteome of T cells was mapped under steady state conditions, as well as upon 15 min and 1 h of T cell receptor (TCR) stimulation, respectively. We quantified the subcellular distribution of 6,572 proteins and identified a subset of 237 potentially translocating proteins, including both well-known examples and novel ones. Microscopic validation confirmed the localization of selected proteins with previously known and unknown localization, respectively. We further provide the data in an easy-to-use web platform to facilitate re-use, as the data can be relevant for basic research as well as for clinical exploitation of T cells as therapeutic targets.

Indexed as

CD4-Positive T-LymphocytesCell NucleusCells, CulturedCytosolHumansLymphocyte ActivationProtein TransportProteomeProteomicsSubcellular FractionsTandem Mass SpectrometryProteomeCD4 T cellsmass spectrometry-based proteomicsprotein translocationsubcellular fractionationsubcellular localizationTCR stimulation

Identifiers

PMID31849937
PMCPMC6902019
OpenAlexW2991044112

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.