Evidence map›Paper›PMID 42779979›Full record

ArticlebioRxiv : the preprint server for biology2026

GLOBAL ANALYSIS OF PROTRUSION-TRANCSRIPTOMES IDENTIFIES DISTINCT CATEGORIES OF LOCALIZED RNAS IN NON-NEURONAL CELLS.

Briana Hojo, Shikha Kumari, Dominic Milla, Victoria Vang, Megan L Norris

Abstract readPreprint
PubMed Full text at PMC Publisher
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

5 authors.

Briana HojoDepartment of Biochemistry, University of California, Riverside, 3401 Watkins Drive, Boyce Hall, Riverside, CA, 92521, United States.
Shikha KumariDepartment of Biochemistry, University of California, Riverside, 3401 Watkins Drive, Boyce Hall, Riverside, CA, 92521, United States.
Dominic MillaDepartment of Biochemistry, University of California, Riverside, 3401 Watkins Drive, Boyce Hall, Riverside, CA, 92521, United States.
Victoria VangDepartment of Biochemistry, University of California, Riverside, 3401 Watkins Drive, Boyce Hall, Riverside, CA, 92521, United States.
Megan L NorrisDepartment of Biochemistry, University of California, Riverside, 3401 Watkins Drive, Boyce Hall, Riverside, CA, 92521, United States.ORCID 0000-0003-0666-2665

Funding

Regulation and function of subcellular RNA localization in neural crest cells and their derivativesR00HD109457 · NICHD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Megan L Norris · 2024 to 2026
$747k
Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NICHD NIH HHS R00 HD109457NIH HHS S10 OD016290
6 · The paper itself

Abstract

RNA localization to protrusions in non-neuronal cells is an emerging molecular process, distinct from the canonical mechanism characterized in neurons. Here, we describe a fractionation workflow optimized for non-neuronal cells that increases sensitivity and reproducibility of transcriptome-wide quantification of protrusion-localized RNAs. Using the optimized method, we identify six categories of protrusion-localized RNAs in non-neuronal cells from mice, including long non-coding RNAs and pseudogenes, and observe spatially distinct subsets of mitochondrially-localized RNAs. Taken together, our results reveal previously unappreciated spatial regulation of diverse transcripts and point toward broadly acting unifying principles that extend across cell types and species.

Identifiers

PMID42779979
PMCPMC13596472

What OpenQuestion holds

Textmetadata
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.