Evidence map›Paper›PMID 33859402›Full record

ArticleNature biotechnology2021

Quantitative mapping of the cellular small RNA landscape with AQRNA-seq.

Jennifer F Hu, Daniel Yim, Duanduan Ma, Sabrina M Huber, Nick Davis, Jo Marie Bacusmo, Sidney Vermeulen, Jieliang Zhou, Thomas J Begley, Michael S DeMott and 4 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

55 citing papers in PubMed, 82 citations in OpenAlex.

  1. Multi-omics analysis identifies a role forMicrobiology spectrum · 2026
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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

14 authors at 10 institutions in 4 countries.

Jennifer F HuDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6049-7595
Daniel YimDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6153-4725
Duanduan MaBioMicro Center, Massachusetts Institute of Technology, Cambridge, MA, USA.
Sabrina M HuberDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nick DavisDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jo Marie BacusmoDepartment of Microbiology & Cell Science, University of Florida, Gainesville, FL, USA.
Sidney VermeulenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Jieliang ZhouKK Research Center, KK Women's and ChildrenBristol Myers Squibb's Hospital, Singapore, Singapore.
Thomas J BegleyThe RNA Institute and Department of Biology, University at Albany, Albany, NY, USA.
Michael S DeMottDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Stuart S LevineDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Valérie de Crécy-LagardDepartment of Microbiology & Cell Science, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-9955-3785
Peter C DedonDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. pcdedon@mit.edu.ORCID http://orcid.org/0000-0003-0011-3067
Bo CaoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. caobo@qfnu.edu.cn.ORCID http://orcid.org/0000-0002-7011-1676
Center for Environmental Health · USMassachusetts Institute of Technology · USUniversity of Florida · USAgency for Science, Technology and Research · SGBristol-Myers Squibb (United States) · USETH Zurich · CHKK Women's and Children's Hospital · SGQufu Normal University · CNRibon Therapeutics (United States) · USUniversity at Albany, State University of New York · US

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
NIEHS NIH HHS P30 ES002109NIEHS NIH HHS T32 ES007020
6 · The paper itself

Abstract

Current next-generation RNA-sequencing (RNA-seq) methods do not provide accurate quantification of small RNAs within a sample, due to sequence-dependent biases in capture, ligation and amplification during library preparation. We present a method, absolute quantification RNA-sequencing (AQRNA-seq), that minimizes biases and provides a direct, linear correlation between sequencing read count and copy number for all small RNAs in a sample. Library preparation and data processing were optimized and validated using a 963-member microRNA reference library, oligonucleotide standards of varying length, and RNA blots. Application of AQRNA-seq to a panel of human cancer cells revealed >800 detectable miRNAs that varied during cancer progression, while application to bacterial transfer RNA pools, with the challenges of secondary structure and abundant modifications, revealed 80-fold variation in tRNA isoacceptor levels, stress-induced site-specific tRNA fragmentation, quantitative modification maps, and evidence for stress-induced, tRNA-driven, codon-biased translation. AQRNA-seq thus provides a versatile means to quantitatively map the small RNA landscape in cells.

Indexed as

MicroRNAsCell Line, TumorGene LibraryHumansNeoplasmsRNA, BacterialRNA, TransferSequence AlignmentSequence Analysis, RNAMicroRNAsRNA, BacterialRNA, Transfer

Identifiers

PMID33859402
PMCPMC8355021
OpenAlexW3153491424

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.