Evidence map›Paper›PMID 31671154›Full record

ArticlePloS one2019

Evaluation of protocols for rRNA depletion-based RNA sequencing of nanogram inputs of mammalian total RNA.

Simon Haile, Richard D Corbett, Steve Bilobram, Karen Mungall, Bruno M Grande, Heather Kirk, Pawan Pandoh, Tina MacLeod, Helen McDonald, Miruna Bala and 7 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Low-volumeMicrobial genomics · 2025
    Article
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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

17 authors.

Simon HaileCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Richard D CorbettCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Steve BilobramCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Karen MungallCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.ORCID 0000-0002-9092-4391
Bruno M GrandeCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Heather KirkCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Pawan PandohCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Tina MacLeodCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Helen McDonaldCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Miruna BalaCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Robin J CoopeCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Richard A MooreCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Andrew J MungallCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Yongjun ZhaoCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Ryan D MorinCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Steven J JonesCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.
Marco A MarraCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada.ORCID 0000-0001-7146-7175

Funding

CCR NIH HHS HHSN261200800001CCIHR FDN-143288NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Next generation RNA-sequencing (RNA-seq) is a flexible approach that can be applied to a range of applications including global quantification of transcript expression, the characterization of RNA structure such as splicing patterns and profiling of expressed mutations. Many RNA-seq protocols require up to microgram levels of total RNA input amounts to generate high quality data, and thus remain impractical for the limited starting material amounts typically obtained from rare cell populations, such as those from early developmental stages or from laser micro-dissected clinical samples. Here, we present an assessment of the contemporary ribosomal RNA depletion-based protocols, and identify those that are suitable for inputs as low as 1-10 ng of intact total RNA and 100-500 ng of partially degraded RNA from formalin-fixed paraffin-embedded tissues.

Indexed as

AnimalsBase SequenceGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMammalsRNARNA, MessengerRNA, RibosomalSequence Analysis, RNATissue FixationTranscriptomeRNARNA, MessengerRNA, Ribosomal

Identifiers

PMID31671154
PMCPMC6822755

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.