Evidence map›Paper›PMID 40964041›Full record

ArticleResearch square2025

Scalable single-cell total RNA-seq reveals non-coding programs in immunity, infection, and brain development.

Alina Isakova, Stephen Quake, Daniel Liu, Ivana Cvijovic, Rahul Sinha, Anna Eastman, Sirle Saul, Angela Detweiler, Norma Neff, Shirit Einav and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 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

5 · Who and what money

Authors and funding

11 authors.

Alina IsakovaStanford University.ORCID 0000-0003-1113-6889
Stephen QuakeStanford University.ORCID 0000-0002-1613-0809
Daniel LiuStanford Medicine.
Ivana CvijovicStanford University.
Rahul SinhaStanford University.ORCID 0000-0001-7511-0798
Anna EastmanStanford Medicine.ORCID 0000-0002-1455-291X
Sirle SaulStanford University.
Angela DetweilerChan Zuckerberg Biohub.
Norma NeffCZ Biohub.
Shirit EinavStanford University.ORCID 0000-0001-6441-4171
Irving WeissmanStanford University.ORCID 0000-0002-9077-7467

Funding

Advancing the development of a novel class of small molecules for treating pan-coronavirus infectionsR01AI158569 · NIAID · STANFORD UNIVERSITY · PI EINAV, SHIRIT · 2021 to 2025
$3.7M
NIAID NIH HHS R01 AI158569
6 · The paper itself

Abstract

Non-coding RNAs represent a widespread and diverse layer of post-transcriptional regulation across cell types and states, yet much of their diversity remains uncharted at single-cell resolution. This gap stems from the limitations of widely used single-cell RNA-sequencing protocols, which focus on polyadenylated transcripts and miss many short or non-polyadenylated RNAs. Here, we adapted single-cell RNA-sequencing on the 10x Genomics platform to capture a broad complement of coding and non-coding RNAs-including miRNAs, tRNAs, lncRNAs, histone RNAs, and non-adenylated viral transcripts. This approach enabled the discovery of rich, dynamic non-coding RNA programs across immune cells, virally infected hepatocytes, and the developing human brain. In dengue virus-infected hepatocytes, we detect non-adenylated viral transcripts and distinguish active from transcriptionally quiescent infected states, each with distinct host regulatory signatures. In brain tissue, we identify biotype-specific, cell-type-restricted non-coding RNAs, including miRNAs whose expression anticorrelates with predicted targets, consistent with post-transcriptional regulatory relationships. We show that

Identifiers

PMID40964041
PMCPMC12440072

What OpenQuestion holds

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LicenceCC BY
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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.