PreprintCited by 61RNA and protein synthesis mechanismsRNA Research and SplicingAdvanced Proteomics Techniques and Applications

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The relationship of mRNA with protein expression in CD8 + T cells associates with gene class and gene characteristics

Open access

Preprint — published as 10.1371/journal.pone.0276294 · Paper page

Abstract

SUMMARY: T cells are key players in our defence against infections and malignancies. When T cells differentiate or become activated, they undergo substantial alterations in gene expression. Even though RNA expression levels are now well documented throughout different stages of T cells, it is not well understood how mRNA expression translates into the protein landscape. By combining paired RNA sequencing and massspectrometry data of primary human CD8 + T cells, we report that mRNA expression is a poor proxy for the overall protein output, irrespective of the differentiation or activation status. Yet, gene class stratification revealed a function-specific correlation of mRNA with protein expression. This gene class-specific expression pattern associated with differences in gene characteristics such as sequence conservation and untranslated region (UTR) lengths. In addition, the presence of AU-rich elements in the 3’UTR associated with alterations in mRNA and protein abundance T cell activation dependent, gene class-specific manner. In conclusion, our study highlights the role of gene characteristics as a determinant for gene expression in T cells.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2020.04.21.053884

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 52

  1. 10.1038/nri2251 · DOI
  2. 10.1038/nri3307 · DOI · Paper page
  3. 10.1038/s41590-018-0114-2 · DOI
  4. 10.1038/35065111 · DOI · Paper page
  5. 10.1126/science.1058867 · DOI · Paper page
  6. 10.1073/pnas.1117194109 · DOI
  7. 10.1038/ni.2536 · DOI
  8. 10.1016/j.immuni.2011.12.007 · DOI · Paper page
  9. 10.1002/eji.202049055 · DOI
  10. 10.1038/ni.3441 · DOI
  11. 10.1038/ni.3314 · DOI · Paper page
  12. 10.1038/msb.2011.80 · DOI
  13. 10.1016/j.immuni.2018.04.008 · DOI · Paper page
  14. 10.1016/j.it.2020.01.001 · DOI
  15. 10.1186/1471-2164-6-1 · DOI
  16. 10.1146/annurev-genet-120116-024704 · DOI · Paper page
  17. 10.1073/pnas.83.6.1670 · DOI
  18. 10.1016/S1074-7613(00)80038-2 · DOI
  19. 10.1128/MCB.23.10.3506-3515.2003 · DOI
  20. 10.1038/ncomms9306 · DOI
  21. 10.1073/pnas.1913940117 · DOI
  22. 10.1074/mcp.m113.037309 · DOI · Paper page
  23. 10.7554/eLife.53725 · DOI
  24. 10.1038/s41590-020-0714-5 · DOI
  25. 2021, Sequence determinants as key regulators in gene expression of T cells, Immunological Reviews, 304, 10, 10.1111/imr.13021 · DOI
  26. 10.1073/pnas.1222534110 · DOI · Paper page
  27. 10.1016/S0968-0004(00)89102-1 · DOI · Paper page
  28. 10.1093/nar/gkx975 · DOI · Paper page
  29. 10.1038/s41590-018-0155-6 · DOI
  30. 10.1038/nrg3185 · DOI · Paper page
  31. 10.1016/j.celrep.2018.01.066 · DOI
  32. 10.1016/j.gene.2007.07.007 · DOI
  33. 10.1016/j.cell.2017.05.022 · DOI · Paper page
  34. 10.1038/s41559-017-0377-2 · DOI
  35. 10.1038/msb.2013.47 · DOI · Paper page
  36. 10.1038/cddiscovery.2017.71 · DOI
  37. 10.1038/s41467-018-03106-1 · DOI
  38. 10.1371/journal.pbio.0040180 · DOI · Paper page
  39. 10.1371/journal.pgen.1006024 · DOI
  40. 10.15252/embr.201947732 · DOI
  41. 10.1073/pnas.0307827100 · DOI
  42. 10.1073/pnas.87.19.7668 · DOI
  43. 10.1038/msb.2010.4 · DOI
  44. 10.1016/j.cels.2017.12.007 · DOI
  45. 10.1126/science.1155390 · DOI · Paper page
  46. 10.1016/j.cell.2009.06.016 · DOI · Paper page
  47. 10.1080/2162402X.2018.1532762 · DOI
  48. 10.1093/nar/gkx1098 · DOI · Paper page
  49. 10.1038/nrg3813 · DOI · Paper page
  50. 10.1038/s41467-018-06557-8 · DOI
  51. 10.1016/j.molcel.2016.06.029 · DOI
  52. 10.1093/database/bar001 · DOI

Metadata

Authors
Nicolet, B. P., & Wolkers, M. C.
Affiliations
Sanquin (NL)
Corresponding author
Wolkers, Monika C.
Venue
PLoS ONE
Publisher
openRxiv
Published
2020-04-22
Volume
17
Issue
10
Pages
e0276294-e0276294
ISSN
1932-6203 (ISSN-L)
OpenAlex
W4306832366
Cited by
61
References
1
Citations by year
2026: 10 · 2025: 23 · 2024: 12 · 2023: 12 · 2022: 1 · 2021: 2 · 2020: 1
FWCI
3.92
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Pure Amsterdam UMC (submittedVersion, cc-by)
Funders
  • Oncode Institute
  • European Research Council (817533)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
CD8+ T cells, mRNA-protein correlation, gene expression, T cell activation, T cell differentiation, AU-rich elements, 3' untranslated region, sequence conservation, protein abundance
MeSH terms
Humans, Lymphocyte Activation, RNA, Messenger, CD8-Positive T-Lymphocytes, 3' Untranslated Regions, AU Rich Elements

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review