Evidence map›Paper›PMID 19536208›Full record

ArticleMolecular systems biology2009

Prevalence of transcription promoters within archaeal operons and coding sequences.

Tie Koide, David J Reiss, J Christopher Bare, Wyming Lee Pang, Marc T Facciotti, Amy K Schmid, Min Pan, Bruz Marzolf, Phu T Van, Fang-Yin Lo and 5 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Review
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  8. Genes · 2021
    Article
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16 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

15 authors.

Tie KoideInstitute for Systems Biology, Seattle, WA 98103, USA.
David J Reiss
J Christopher Bare
Wyming Lee Pang
Marc T Facciotti
Amy K Schmid
Min Pan
Bruz Marzolf
Phu T Van
Fang-Yin Lo
Abhishek Pratap
Eric W Deutsch
Amelia Peterson
Dan Martin
Nitin S Baliga

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI AITCHISON, JOHN D. · 2006 to 2016
$30.6M
Interrogation of systems level mechanisms controlling DNA repair processesR01GM077398 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2007 to 2010
$1.3M
NIGMS NIH HHS 1R01GM077398-01A2NIGMS NIH HHS P50 GM076547NIGMS NIH HHS P50GM076547NIGMS NIH HHS R01 GM077398
6 · The paper itself

Abstract

Despite the knowledge of complex prokaryotic-transcription mechanisms, generalized rules, such as the simplified organization of genes into operons with well-defined promoters and terminators, have had a significant role in systems analysis of regulatory logic in both bacteria and archaea. Here, we have investigated the prevalence of alternate regulatory mechanisms through genome-wide characterization of transcript structures of approximately 64% of all genes, including putative non-coding RNAs in Halobacterium salinarum NRC-1. Our integrative analysis of transcriptome dynamics and protein-DNA interaction data sets showed widespread environment-dependent modulation of operon architectures, transcription initiation and termination inside coding sequences, and extensive overlap in 3' ends of transcripts for many convergently transcribed genes. A significant fraction of these alternate transcriptional events correlate to binding locations of 11 transcription factors and regulators (TFs) inside operons and annotated genes-events usually considered spurious or non-functional. Using experimental validation, we illustrate the prevalence of overlapping genomic signals in archaeal transcription, casting doubt on the general perception of rigid boundaries between coding sequences and regulatory elements.

Indexed as

Genes, ArchaealOperonPromoter Regions, GeneticComputer SimulationDNA-Binding ProteinsGene Expression ProfilingGene Regulatory NetworksGenome, BacterialHalobacterium salinarumModels, GeneticMonte Carlo MethodReproducibility of ResultsRNATranscription FactorsTranscription, GeneticDNA-Binding ProteinsRNATranscription Factors

Identifiers

PMID19536208
PMCPMC2710873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.