Evidence map›Paper›PMID 35076605›Full record

ArticleNon-coding RNA2022

Jin Zhang, Abdallah M Eteleeb, Emily B Rozycki, Matthew J Inkman, Amy Ly, Russell E Scharf, Kay Jayachandran, Bradley A Krasnick, Thomas Mazur, Nicole M White and 2 more

Abstract read
In one paragraph

Article in Non-coding RNA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Jin ZhangDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Abdallah M EteleebDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
Emily B RozyckiDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Matthew J InkmanDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.ORCID 0000-0001-5490-2374
Amy LyDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
Russell E ScharfMcDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
Kay JayachandranDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Bradley A KrasnickDepartment of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
Thomas MazurDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO 63108, USA.
Nicole M WhiteAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0003-3928-9502
Ryan C FieldsAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
Christopher A MaherAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63110, USA.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
NCI NIH HHS P30 CA091842NIA NIH HHS P30 AG066444
6 · The paper itself

Abstract

Existing small noncoding RNA analysis tools are optimized for processing short sequencing reads (17-35 nucleotides) to monitor microRNA expression. However, these strategies under-represent many biologically relevant classes of small noncoding RNAs in the 36-200 nucleotides length range (tRNAs, snoRNAs, etc.). To address this, we developed DANSR, a tool for the detection of annotated and novel small RNAs using sequencing reads with variable lengths (ranging from 17-200 nt). While DANSR is broadly applicable to any small RNA dataset, we applied it to a cohort of matched normal, primary, and distant metastatic colorectal cancer specimens to demonstrate its ability to quantify annotated small RNAs, discover novel genes, and calculate differential expression. DANSR is available as an open source tool.

Indexed as

bioinformatics softwarecolorectal cancernext generation sequencingsmall noncoding RNA

Identifiers

PMID35076605
PMCPMC8788476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.