Evidence map›Paper›PMID 39282297›Full record

ArticlebioRxiv : the preprint server for biology2024

Genome-Wide Mapping of RNA-Protein Associations via Sequencing.

Zhijie Qi, Shuanghong Xue, Junchen Chen, Wenxin Zhao, Kara Johnson, Xingzhao Wen, John Lalith Charles Richard, Sheng Zhong

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

8 authors.

Zhijie QiInstitute of Engineering in Medicine, University of California San Diego, La Jolla, CA, USA.
Shuanghong XueInstitute of Engineering in Medicine, University of California San Diego, La Jolla, CA, USA.
Junchen ChenShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Wenxin ZhaoShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Kara JohnsonShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Xingzhao WenProgram in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA.
John Lalith Charles RichardShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Sheng ZhongInstitute of Engineering in Medicine, University of California San Diego, La Jolla, CA, USA.

Funding

Extremely high-throughput mapping of protein, RNA, and chromatin interactions in health and diseaseDP1DK126138 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2024
$3.7M
Single Cell Tracking of 3D Epigenetic Landscape Evolution During Embryonic DevelopmentR01HD107206 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Yingxiao Wang, Sheng Zhong · 2022 to 2026
$3.2M
Revealing protein-protein interactions and RNA-protein interactions at genome-scale in two weeksR01GM138852 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2020 to 2023
$1.5M
Spatial in situ mapping of RNA-chromatin interactions at transcriptome-and-genome scale in human tissuesUH3CA256960 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2022 to 2023
$1.1M
NCI NIH HHS UH3 CA256960NICHD NIH HHS R01 HD107206NIDDK NIH HHS DP1 DK126138NIGMS NIH HHS R01 GM138852
6 · The paper itself

Abstract

RNA-protein interactions are crucial for regulating gene expression and cellular functions, with their dysregulation potentially impacting disease progression. Systematically mapping these interactions is resource-intensive due to the vast number of potential RNA and protein interactions. Here, we introduce PRIM-seq (Protein-RNA Interaction Mapping by sequencing), a method for the concurrent

Identifiers

PMID39282297
PMCPMC11398515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.