Evidence map›Paper›PMID 42818317›Full record

ArticlebioRxiv : the preprint server for biology2026

Accelerated Evolution of Context-Dependent Gene Expression in Primate Immune Cells.

Arun Durvasula, Amy Longtin, Audrey M Arner, Kathrin Köhler, Iker Rivas-González, Jenny Tung, Genevieve Housman, Amanda J Lea

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

8 authors.

Arun DurvasulaDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA, 90033.ORCID 0000-0003-0631-3238
Amy LongtinDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA, 37232.
Audrey M ArnerDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA, 37232.
Kathrin KöhlerDepartment of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Iker Rivas-GonzálezDepartment of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-0515-0628
Jenny TungDepartment of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Genevieve HousmanDepartment of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-3482-7511
Amanda J LeaDepartment of Biological Sciences, Vanderbilt University, Nashville, TN, USA, 37232.ORCID 0000-0002-8827-2750

Funding

Early life environmental effects: molecular mechanisms and inter-individual variationR35GM147267 · NIGMS · VANDERBILT UNIVERSITY · PI Amanda Lea · 2022 to 2026
$2.0M
Leveraging diverse ancestry and environmental variables to understand the evolution and architecture of complex traitsR35GM160467 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arun Durvasula · 2025 to 2026
$827k
NIGMS NIH HHS R35 GM147267NIGMS NIH HHS R35 GM160467
6 · The paper itself

Abstract

Regulatory variation is widely recognized as a driver of evolution within and between species, including in the primate lineage. Evidence for potentially adaptive regulatory evolution in primates comes from both sequence-based tests for selection and cross-species comparisons of gene expression. However, comparative studies of gene expression have tended to focus on baseline cellular states, despite growing evidence that context-dependent gene regulation is important. Here, we investigate the evolution of gene expression in lymphoblastoid cell lines (LCLs) from 6 primate lineages (humans, chimpanzees, bonobos, western gorillas, Sumatran orangutans, and rhesus macaques) using data from both control and 5 perturbed cellular conditions (n=22-25 individuals per condition). Analyzing baseline expression data, we find that genes involved in immunity often exhibit lineage-specific transcriptional shifts, and that these genes occur near regions with lineage-specific sequence acceleration and lineage-specific epigenomic states. However, the subset of genes that respond to

Identifiers

PMID42818317
PMCPMC13622252

What OpenQuestion holds

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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.