Evidence map›Paper›PMID 40667200›Full record

ArticlebioRxiv : the preprint server for biology2025

miRNA-Mediated Regulation of Gene Expression During Early Activation in Jurkat Cells.

Pooja Mukherjee, Thyago Leal-Calvo, Lucas Ferguson, Jamie H D Cate

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Pooja MukherjeeUniversity of California Berkeley, Innovative Genomics Institute, Berkeley, CA, USA.ORCID 0000-0002-3875-6271
Thyago Leal-CalvoUniversity of California Berkeley, Innovative Genomics Institute, Berkeley, CA, USA.ORCID 0000-0001-9520-4791
Lucas FergusonUniversity of California Berkeley, Department of Molecular and Cell Biology, Berkeley, CA, USA.
Jamie H D CateUniversity of California Berkeley, Innovative Genomics Institute, Berkeley, CA, USA.ORCID 0000-0001-5965-7902

Funding

The Role of the Ribosome in the Accuracy of TranslationR01GM065050 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CATE, JAMIE H · 2001 to 2022
$7.4M
Human genetic supplementation without donor DNA or a DNA breakDP1HL156819 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI COLLINS, KATHLEEN · 2020 to 2024
$5.8M
Mechanisms of Translation Control in HumansR35GM148352 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI JAMIE H CATE · 2023 to 2026
$2.3M
Diverse and dynamically regulated mRNP composition regulating translationR01GM139008 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI NICHOLAS T INGOLIA · 2023 to 2026
$1.2M
NHLBI NIH HHS DP1 HL156819NIGMS NIH HHS R01 GM065050NIGMS NIH HHS R01 GM139008NIGMS NIH HHS R35 GM148352
6 · The paper itself

Abstract

Background: T cell activation induces substantial changes in gene expression by rapidly increasing transcription and translation. Additionally, microRNAs play a crucial role in regulating protein expression in T cell physiology, adding a layer of complexity by fine-tuning protein levels. While various miRNAs have been implicated in T cell function, a systematic analysis of differentially expressed miRNAs during early T cell activation and identification of their mRNA targets remains mostly unknown. Results: We investigated dynamic changes in global gene expression during early T cell activation using a multi-omics approach combining small RNA-seq, mRNA-seq and ribosome profiling. Our results show that most differential expression changes occur by 5 hours postactivation, with translational upregulation predominating over downregulation. From 5 to 12 hours, we observed modest transcriptional and translational reprogramming. We identified 9 miRNAs that are differentially expressed (DE) during early activation, with most changes occurring as early as 5 hours. We calculated translation efficiency (TE) and classified genes based on changes in both mRNA abundance and ribosome-protected fragments (RPFs). By integrating TE and miRNA expression data, we examined the relationship between TE group-specific regulation patterns and the number of miRNA binding sites. Interestingly, rather than observing a uniform downregulation of targets with 4 or more predicted DE miRNA binding sites, we found distinct regulatory patterns that varied with both activation time point and TE category. Conclusions: Our data provide new insights into how genes associated with key events in T cell activation such as translation, cell proliferation, and immune signaling are regulated at both the transcriptional and translational levels. The observation that most regulatory changes occur within the first 5 hours post-activation highlights the rapid and coordinated nature of T cell responses. The differential patterns of target regulation, based on translation efficiency groups and miRNA binding site density, suggest a context-dependent role for miRNAs in shaping protein output. Future experiments will be required to functionally validate specific miRNA-target interactions and to explore their relevance in primary T cells

Indexed as

Early T cell activationgene expression regulationmiRNAribosome profilingtranscriptiontranslation efficiency

Identifiers

PMID40667200
PMCPMC12262402

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Registered trials

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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.