Evidence map›Paper›PMID 37333092›Full record

ArticlebioRxiv : the preprint server for biology2023

dsRID: Editing-free in silico identification of dsRNA region using long-read RNA-seq data.

Ryo Yamamoto, Zhiheng Liu, Mudra Choudhury, Xinshu Xiao

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ryo YamamotoBioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA.
Zhiheng LiuDepartment of Integrative Biology and Physiology, University of California, Los Angeles, California, USA.
Mudra ChoudhuryBioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA.
Xinshu XiaoBioinformatics Interdepartmental Program, University of California, Los Angeles, California, USA.
University of California, Los Angeles · US

Funding

Regulation and function of dsRNAs derived from retrotransposable elements in ADR01AG078950 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Xinshu Grace Xiao · 2022 to 2026
$3.2M
Systematic approaches to deciphering regulation and function of RNA editing in brainR01MH123177 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2021 to 2025
$3.1M
Biomedical Big Data Training GrantT32LM012424 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2016 to 2019
$1.0M
NIA NIH HHS R01 AG078950NIMH NIH HHS R01 MH123177NLM NIH HHS T32 LM012424
6 · The paper itself

Abstract

Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA sensor proteins. Identification of endogenous dsRNAs helps to better understand the dsRNAome and its relevance to innate immunity related to human diseases. Here, we report dsRID (double-stranded RNA identifier), a machine learning-based method to predict dsRNA regions

Identifiers

PMID37333092
PMCPMC10274638
OpenAlexW4379388557

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.