Evidence map›Paper›PMID 33175381›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Identification and Quantification of Small RNAs.

Di Sun, Zeyang Ma, Jiaying Zhu, Xiuren Zhang

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

4 authors at 1 institution in 1 country.

Di SunDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
Zeyang MaDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
Jiaying ZhuDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA.
Xiuren ZhangDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, USA. xiuren.zhang@tamu.edu.
Texas A&M University · US

Funding

Roles of SWI/SNF complexes in posttranscriptional processing of RNAR01GM132401 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI ZHANG, XIUREN · 2019 to 2022
$1.4M
NIGMS NIH HHS R01 GM132401
6 · The paper itself

Abstract

RNA silencing plays a critical role in diverse biological processes in plants including growth, development, and responses to abiotic and biotic stresses. RNA silencing is guided by small non-coding RNAs (sRNAs) with the length of 21-24 nucleotides (nt) that are loaded into Argonaute (AGO) to repress expression of target loci and transcripts through transcriptional or posttranscriptional gene silencing mechanisms. Identification and quantitative characterization of sRNAs are crucial steps toward appreciation of their functions in biology. Here, we developed a step-by-step protocol to precisely illustrate the process of cloning of sRNA libraries and correspondingly computational analysis of the recovered sRNAs. This protocol can be used in all kinds of organisms, including Arabidopsis, and is compatible with various high-throughput sequence technologies such as Illumina Hiseq. Thus, we wish that this protocol represents an accurate way to identify and quantify sRNAs in vivo.

Indexed as

ArabidopsisGene Expression Regulation, PlantHigh-Throughput Nucleotide SequencingRNA, PlantRNA, Small UntranslatedArabidopsis ProteinsArgonaute ProteinsArabidopsis ProteinsArgonaute ProteinsRNA, PlantRNA, Small UntranslatedComputational analysisHigh-throughput sequencingLibrary constructionRNA silencingSmall RNA

Identifiers

PMID33175381
PMCPMC7869961
OpenAlexW3100168717

What OpenQuestion holds

Textmetadata
LicenceTDM
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.