Evidence map›Paper›PMID 33066726›Full record

ArticleBMC genomics2020

Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion.

Chatarin Wangsanuwat, Kellie A Heom, Estella Liu, Michelle A O'Malley, Siddharth S Dey

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  11. Dual RNA-seq in filarial nematodes andFrontiers in microbiology · 2024
    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

5 authors at 1 institution in 1 country.

Chatarin WangsanuwatDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Kellie A HeomDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Estella LiuDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Michelle A O'MalleyDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA.
Siddharth S DeyDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, 93106, USA. sdey@ucsb.edu.ORCID http://orcid.org/0000-0002-1161-1654
University of California, Santa Barbara · US

Funding

National Science Foundation MCB-1553721
6 · The paper itself

Abstract

backgroundRNA sequencing is a powerful approach to quantify the genome-wide distribution of mRNA molecules in a population to gain deeper understanding of cellular functions and phenotypes. However, unlike eukaryotic cells, mRNA sequencing of bacterial samples is more challenging due to the absence of a poly-A tail that typically enables efficient capture and enrichment of mRNA from the abundant rRNA molecules in a cell. Moreover, bacterial cells frequently contain 100-fold lower quantities of RNA compared to mammalian cells, which further complicates mRNA sequencing from non-cultivable and non-model bacterial species. To overcome these limitations, we report EMBR-seq (Enrichment of mRNA by Blocked rRNA), a method that efficiently depletes 5S, 16S and 23S rRNA using blocking primers to prevent their amplification.

resultsEMBR-seq results in 90% of the sequenced RNA molecules from an E. coli culture deriving from mRNA. We demonstrate that this increased efficiency provides a deeper view of the transcriptome without introducing technical amplification-induced biases. Moreover, compared to recent methods that employ a large array of oligonucleotides to deplete rRNA, EMBR-seq uses a single or a few oligonucleotides per rRNA, thereby making this new technology significantly more cost-effective, especially when applied to varied bacterial species. Finally, compared to existing commercial kits for bacterial rRNA depletion, we show that EMBR-seq can be used to successfully quantify the transcriptome from more than 500-fold lower starting total RNA.

conclusionsEMBR-seq provides an efficient and cost-effective approach to quantify global gene expression profiles from low input bacterial samples.

Indexed as

Escherichia coliRNA, RibosomalAnimalsCost-Benefit AnalysisRNA, BacterialRNA, MessengerRNA, Ribosomal, 16SSequence Analysis, RNARNA, BacterialRNA, MessengerRNA, RibosomalRNA, Ribosomal, 16SBacterial mRNA sequencingLow input total RNAmRNA enrichmentrRNA depletion

Identifiers

PMID33066726
PMCPMC7565789
OpenAlexW3093033956

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.