Evidence map›Paper›PMID 35285572›Full record

ArticleMolecular systems biology2022

Time-series transcriptomics and proteomics reveal alternative modes to decode p53 oscillations.

Alba Jiménez, Dan Lu, Marian Kalocsay, Matthew J Berberich, Petra Balbi, Ashwini Jambhekar, Galit Lahav

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.Journal of the American Society of Nephrology : JASN · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Systems Biology of the Cancer Cell.Annual review of biomedical engineering · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Enhancing chimeric antigen receptor T cell therapy by modulating the p53 signaling network with Δ133p53α.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Article
  17. Permission to pass: on the role of p53 as a gatekeeper for aneuploidy.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  18. Article
  19. Microbiology spectrum · 2023
    Article
  20. Article
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 1 institution in 1 country.

Alba JiménezDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.
Dan LuDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6952-9194
Marian KalocsayDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4187-5829
Matthew J BerberichLaboratory of Systems Pharmacology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.
Petra BalbiDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.
Ashwini JambhekarDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-1078-6601
Galit LahavDepartment of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-4758-6427
Harvard University · US

Funding

Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule DrugsU54CA225088 · NCI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2018 to 2022
$10.8M
Dynamics of Signaling Pathways: Mechanism and FunctionR01GM083303 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2008 to 2020
$5.2M
Dynamics, Regulation and Function of p53 in Single CellsR35GM139572 · NIGMS · HARVARD MEDICAL SCHOOL · PI Galit Lahav · 2021 to 2026
$4.7M
Information Processing by Post-translational ModificationR01GM105375 · NIGMS · HARVARD MEDICAL SCHOOL · PI GUNAWARDENA, JEREMY, LAHAV, GALIT · 2015 to 2022
$3.0M
Dynamics of Cellular Senescence in Single CellsR01GM116864 · NIGMS · HARVARD MEDICAL SCHOOL · PI LAHAV, GALIT · 2017 to 2020
$1.6M
NCI NIH HHS U54 CA225088NIGMS NIH HHS R01 GM083303NIGMS NIH HHS R01 GM105375NIGMS NIH HHS R01 GM116864NIGMS NIH HHS R35 GM139572
6 · The paper itself

Abstract

The cell stress-responsive transcription factor p53 influences the expression of its target genes and subsequent cellular responses based in part on its dynamics (changes in level over time). The mechanisms decoding p53 dynamics into subsequent target mRNA and protein dynamics remain unclear. We systematically quantified p53 target mRNA and protein expression over time under two p53 dynamical regimes, oscillatory and rising, using RNA-sequencing and TMT mass spectrometry. Oscillatory dynamics allowed for a greater variety of dynamical patterns for both mRNAs and proteins. Mathematical modeling of empirical data revealed three distinct mechanisms that decode p53 dynamics. Specific combinations of these mechanisms at the transcriptional and post-transcriptional levels enabled exclusive induction of proteins under particular dynamics. In addition, rising induction of p53 led to higher induction of proteins regardless of their functional class, including proteins promoting arrest of proliferation, the primary cellular outcome under rising p53. Our results highlight the diverse mechanisms cells employ to distinguish complex transcription factor dynamics to regulate gene expression.

Indexed as

TranscriptomeTumor Suppressor Protein p53ProteomicsRNA, MessengerTranscription FactorsRNA, MessengerTranscription FactorsTumor Suppressor Protein p53decoding mechanismsnetwork motifsp53 dynamicsproteomicstranscriptomics

Identifiers

PMID35285572
PMCPMC8919251
OpenAlexW4221073171

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.