Evidence map›Paper›PMID 37662282›Full record

ArticlebioRxiv : the preprint server for biology2023

sRNAfrag: A pipeline and suite of tools to analyze fragmentation in small RNA sequencing data.

Ken Nakatsu, Mayumi Jijiwa, Vedbar Khadka, Masaki Nasu, Matthew Huo, Youping Deng

Abstract readPreprint
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ken NakatsuEmory College of Arts and Sciences, Emory University, 201 Dowman Dr, Atlanta, 30322, Georgia, United States of America.
Mayumi JijiwaDepartment of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America.
Vedbar KhadkaDepartment of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America.
Masaki NasuDepartment of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America.
Matthew HuoDepartment of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America.
Youping DengDepartment of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America.

Funding

UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI JoAnn Umilani Tsark · 2017 to 2026
$59.5M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SHIKUMA, CECILIA M. · 2021 to 2025
$15.5M
Selenium Metabolism in the Heart: Impact of High Fructose and Low SeleniumP20GM139753 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Marla J Berry · 2022 to 2026
$13.3M
Small Grants ProgramP30GM114737 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI NERURKAR, VIVEK RAMCHANDRA · 2015 to 2022
$8.1M
Profiling genome-wide circulating ncRNAs for the early detection of lung cancerR01CA223490 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING · 2018 to 2022
$3.1M
Circulating lipid and miRNA markers for early detection of breast cancer among women with abnormal mammogramsR01CA230514 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI DENG, YOUPING · 2019 to 2023
$2.8M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA223490NCI NIH HHS R01 CA230514NIGMS NIH HHS P20 GM103466NIGMS NIH HHS P20 GM139753NIGMS NIH HHS P30 GM114737NIGMS NIH HHS U54 GM138062NIMHD NIH HHS U54 MD007601
6 · The paper itself

Abstract

Fragments derived from small RNAs such as small nucleolar RNAs hold biological relevance. However, they remain poorly understood, calling for more comprehensive methods for analysis. We developed sRNAfrag, a standardized workflow and set of scripts to quantify and analyze sRNA fragmentation of any biotype. In a benchmark, it is able to detect loci of mature microRNAs fragmented from precursors and, utilizing multi-mapping events, the conserved 5' seed sequence of miRNAs which we believe may extraoplate to other small RNA fragments. The tool detected 1411 snoRNA fragment conservation events between 2/4 eukaryotic species, providing the opportunity to explore motifs and fragmentation patterns not only within species, but between. Availability: https://github.com/kenminsoo/sRNAfrag.

Indexed as

ConservationFragmentsPeakssnoRNA

Identifiers

PMID37662282
PMCPMC10473647

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.