Evidence map›Paper›PMID 23194155›Full record

ArticleBMC genomics2012

Multiple-omic data analysis of Klebsiella pneumoniae MGH 78578 reveals its transcriptional architecture and regulatory features.

Joo-Hyun Seo, Jay Sung-Joong Hong, Donghyuk Kim, Byung-Kwan Cho, Tzu-Wen Huang, Shih-Feng Tsai, Bernhard O Palsson, Pep Charusanti

Abstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Crystal Structure of an SSB Protein fromInternational journal of molecular sciences · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Network Analyses in Plant Pathogens.Frontiers in microbiology · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Joo-Hyun SeoDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Jay Sung-Joong Hong
Donghyuk Kim
Byung-Kwan Cho
Tzu-Wen Huang
Shih-Feng Tsai
Bernhard O Palsson
Pep Charusanti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing number of infections caused by strains of Klebsiella pneumoniae that are resistant to multiple antibiotics has developed into a major medical problem worldwide. The development of next-generation sequencing technologies now permits rapid sequencing of many K. pneumoniae isolates, but sequence information alone does not provide important structural and operational information for its genome.

resultsHere we take a systems biology approach to annotate the K. pneumoniae MGH 78578 genome at the structural and operational levels. Through the acquisition and simultaneous analysis of multiple sample-matched -omics data sets from two growth conditions, we detected 2677, 1227, and 1066 binding sites for RNA polymerase, RpoD, and RpoS, respectively, 3660 RNA polymerase-guided transcript segments, and 3585 transcription start sites throughout the genome. Moreover, analysis of the transcription start site data identified 83 probable leaderless mRNAs, while analysis of unannotated transcripts suggested the presence of 119 putative open reading frames, 15 small RNAs, and 185 antisense transcripts that are not currently annotated.

conclusionsThese findings highlight the strengths of systems biology approaches to the refinement of sequence-based annotations, and to provide new insight into fundamental genome-level biology for this important human pathogen.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksGenome, BacterialTranscription, GeneticDNA-Directed RNA PolymerasesKlebsiella pneumoniaeMolecular Sequence AnnotationOpen Reading FramesRNA, AntisenseRNA, Small UntranslatedSequence Analysis, DNASigma FactorSystems BiologyTranscription Initiation SiteDNA-Directed RNA PolymerasesRNA, AntisenseRNA, Small UntranslatedSigma Factor

Identifiers

PMID23194155
PMCPMC3536570

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.