Evidence map›Paper›PMID 21536723›Full record

ArticleGenome research2011

Transcript amplification from single bacterium for transcriptome analysis.

Yun Kang, Michael H Norris, Jan Zarzycki-Siek, William C Nierman, Stuart P Donachie, Tung T Hoang

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed, 124 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Highly Multiplexed Spatial Transcriptomics in Bacteria.bioRxiv : the preprint server for biology · 2024
    Article
  7. Review
  8. Dual RNA-seq in filarial nematodes andFrontiers in microbiology · 2024
    Article
  9. Article
  10. Review
  11. Model-Based Causal Discovery for Zero-Inflated Count Data.Journal of machine learning research : JMLR · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Single-cell RNA sequencing in Drosophila: Technologies and applications.Wiley interdisciplinary reviews. Developmental biology · 2021
    Review
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Yun KangDepartment of Microbiology, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA.
Michael H Norris
Jan Zarzycki-Siek
William C Nierman
Stuart P Donachie
Tung T Hoang
University of Hawaiʻi at Mānoa · USJ. Craig Venter Institute · US

Funding

Vaccines and Diagnostics TrialsU54AI065359 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI BARBOUR, ALAN G. · 2005 to 2013
$88.8M
UHI COBRE: P3: GROUP A STREPT IN RELATION TO ACUTE RHEUMATIC FEVER IN HAWAIIP20RR018727 · NCRR · UNIVERSITY OF HAWAII AT MANOA · PI HOANG, TUNG T · 2003 to 2011
$13.8M
NCRR NIH HHS P20 RR018727NCRR NIH HHS P20RR018727NIAID NIH HHS AI065359NIAID NIH HHS U54 AI065359
6 · The paper itself

Abstract

Total transcript amplification (TTA) from single eukaryotic cells for transcriptome analysis is established, but TTA from a single prokaryotic cell presents additional challenges with much less starting material, the lack of poly(A)-tails, and the fact that the messages can be polycistronic. Here, we describe a novel method for single-bacterium TTA using a model organism, Burkholderia thailandensis, exposed to a subinhibitory concentration of the antibacterial agent, glyphosate. Utilizing a B. thailandensis microarray to assess the TTA method showed low fold-change bias (less than twofold difference and Pearson correlation coefficient R ≈ 0.87-0.89) and drop-outs (4%-6% of 2842 detectable genes), compared with data obtained from the larger-scale nonamplified RNA samples. Further analysis of the microarray data suggests that B. thailandensis, when exposed to the aromatic amino acid biosynthesis inhibitor glyphosate, induces (or represses) genes to possibly recuperate and balance the intracellular amino acid pool. We validated our single-cell microarray data at the multi-cell and single-cell levels with lacZ and gfp reporter-gene fusions, respectively. Sanger sequencing of 192 clones generated from the TTA product of a single cell, with and without enrichment by elimination of rRNA and tRNA, detected only B. thailandensis sequences with no contamination. These data indicate that RNA-seq of TTA from a single cell is possible using this novel method.

Indexed as

Amino Acids, AromaticBurkholderiaCloning, MolecularComputational BiologyGene Expression ProfilingGene Expression Regulation, BacterialGlycineGlyphosateMicroarray AnalysisMicrodissectionMolecular Sequence DataNucleic Acid Amplification TechniquesReverse Transcriptase Polymerase Chain ReactionSequence Analysis, DNAAmino Acids, AromaticGlycineGlyphosate

Identifiers

PMID21536723
PMCPMC3106325
OpenAlexW1967973621

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.