Evidence map›Paper›PMID 33100919›Full record

ArticleJournal of biomolecular techniques : JBT2020

High-throughput Minitaturized RNA-Seq Library Preparation.

Samuel Mildrum, Austin Hendricks, Alexei Stortchevoi, Noelani Kamelamela, Vincent L Butty, Stuart S Levine

Open access · diamondAbstract read
In one paragraph

Article in Journal of biomolecular techniques : JBT, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

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  7. Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

6 authors at 1 institution in 1 country.

Samuel MildrumDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Austin HendricksDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alexei StortchevoiDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Noelani KamelamelaDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Vincent L ButtyDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Stuart S LevineDepartment of Biology, MIT BioMicro Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Massachusetts Institute of Technology · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 1985 to 2020
$25.6M
NCI NIH HHS P30 CA014051NIEHS NIH HHS P30 ES002109
6 · The paper itself

Abstract

Advances in next-generation sequencing technologies have allowed RNA sequencing to become an increasingly time efficient, cost-effective, and accessible tool for genomic research. We present here an automated and miniaturized workflow for RNA library preparation that minimizes reagent usage and processing time required per sample to generate Illumina compatible libraries for sequencing. The reduced-volume libraries show similar behavior to full-scale libraries with comparable numbers of genes detected and reproducible clustering of samples.

Indexed as

Gene LibraryAutomationGenomicsHigh-Throughput Nucleotide SequencingReproducibility of ResultsRNARNA-SeqWorkflowRNASequencing, automation, Illumina

Identifiers

PMID33100919
PMCPMC7566612
OpenAlexW3093557733

What OpenQuestion holds

Textmetadata
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.