Evidence map›Paper›PMID 21612627›Full record

ArticleGenome biology2011

A high resolution map of a cyanobacterial transcriptome.

Vikram Vijayan, Isha H Jain, Erin K O'Shea

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

68 citing papers in PubMed, 108 citations in OpenAlex.

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  11. The Molecular Toolset and Techniques Required to Build Cyanobacterial Cell Factories.Advances in biochemical engineering/biotechnology · 2023
    Article
  12. Review
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  16. Diurnal Regulation of In Vivo Localization and COLife (Basel, Switzerland) · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article

8 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

3 authors at 2 institutions in 1 country.

Vikram VijayanGraduate Program in Systems Biology, Harvard University, 52 Oxford Street, Northwest 445,40, Cambridge, MA 02138, USA.
Isha H Jain
Erin K O'Shea
Howard Hughes Medical Institute · USCenter for Systems Biology · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

backgroundPrevious molecular and mechanistic studies have identified several principles of prokaryotic transcription, but less is known about the global transcriptional architecture of bacterial genomes. Here we perform a comprehensive study of a cyanobacterial transcriptome, that of Synechococcus elongatus PCC 7942, generated by combining three high-resolution data sets: RNA sequencing, tiling expression microarrays, and RNA polymerase chromatin immunoprecipitation sequencing.

resultsWe report absolute transcript levels, operon identification, and high-resolution mapping of 5' and 3' ends of transcripts. We identify several interesting features at promoters, within transcripts and in terminators relating to transcription initiation, elongation, and termination. Furthermore, we identify many putative non-coding transcripts.

conclusionsWe provide a global analysis of a cyanobacterial transcriptome. Our results uncover insights that reinforce and extend the current views of bacterial transcription.

Indexed as

Genome, BacterialTranscriptomeChromatinChromatin ImmunoprecipitationChromosome MappingDatabases, GeneticDNA-Directed RNA PolymerasesGene Expression ProfilingGenomicsOligonucleotide Array Sequence AnalysisOperonRegulatory Sequences, Nucleic AcidRNA, MessengerSequence Analysis, RNASynechococcusChromatinDNA-Directed RNA PolymerasesRNA, Messenger

Identifiers

PMID21612627
PMCPMC3219970
OpenAlexW2016170819

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.