Evidence map›Paper›PMID 27242034›Full record

ArticleDatabase : the journal of biological databases and curation2016

Abasy Atlas: a comprehensive inventory of systems, global network properties and systems-level elements across bacteria.

Miguel A Ibarra-Arellano, Adrián I Campos-González, Luis G Treviño-Quintanilla, Andreas Tauch, Julio A Freyre-González

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Frontiers in bioinformatics · 2024
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  2. Article
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  5. Microorganisms · 2021
    Article
  6. Review
  7. RegulomePA: a database of transcriptional regulatory interactions in Pseudomonas aeruginosa PAO1.Database : the journal of biological databases and curation · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. 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 2 institutions in 2 countries.

Miguel A Ibarra-ArellanoGroup of Regulatory Systems Biology, Evolutionary Genomics Program, Universidad Nacional Autónoma De México, Av. Universidad S/N, Col. Chamilpa, Cuernavaca, Morelos 62210, México Undergraduate Program in Genomic Sciences, Center for Genomics Sciences, Universidad Nacional Autónoma De México, Av. Universidad S/N, Col. Chamilpa, Cuernavaca, Morelos 62210, México.
Adrián I Campos-GonzálezGroup of Regulatory Systems Biology, Evolutionary Genomics Program, Universidad Nacional Autónoma De México, Av. Universidad S/N, Col. Chamilpa, Cuernavaca, Morelos 62210, México Undergraduate Program in Genomic Sciences, Center for Genomics Sciences, Universidad Nacional Autónoma De México, Av. Universidad S/N, Col. Chamilpa, Cuernavaca, Morelos 62210, México.
Luis G Treviño-QuintanillaDepartamento De Tecnología Ambiental, Universidad Politécnica Del Estado De Morelos, Blvd. Cuauhnáhuac 566, Col. Lomas Del Texcal, Jiutepec, Morelos 62550, México.
Andreas TauchCentrum Für Biotechnologie (CeBiTec), Universität Bielefeld, Universitätsstraße 27, Bielefeld, 33615, Germany.
Julio A Freyre-GonzálezGroup of Regulatory Systems Biology, Evolutionary Genomics Program, Universidad Nacional Autónoma De México, Av. Universidad S/N, Col. Chamilpa, Cuernavaca, Morelos 62210, México jfreyre@ccg.unam.mx.
Bielefeld University · DEUniversidad Politecnica del Estado de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of databases electronically encoding curated regulatory networks and of high-throughput technologies and methods to discover regulatory interactions provides an invaluable source of data to understand the principles underpinning the organization and evolution of these networks responsible for cellular regulation. Nevertheless, data on these sources never goes beyond the regulon level despite the fact that regulatory networks are complex hierarchical-modular structures still challenging our understanding. This brings the necessity for an inventory of systems across a large range of organisms, a key step to rendering feasible comparative systems biology approaches. In this work, we take the first step towards a global understanding of the regulatory networks organization by making a cartography of the functional architectures of diverse bacteria. Abasy ( A: cross- BA: cteria SY: stems) Atlas provides a comprehensive inventory of annotated functional systems, global network properties and systems-level elements (global regulators, modular genes shaping functional systems, basal machinery genes and intermodular genes) predicted by the natural decomposition approach for reconstructed and meta-curated regulatory networks across a large range of bacteria, including pathogenically and biotechnologically relevant organisms. The meta-curation of regulatory datasets provides the most complete and reliable set of regulatory interactions currently available, which can even be projected into subsets by considering the force or weight of evidence supporting them or the systems that they belong to. Besides, Abasy Atlas provides data enabling large-scale comparative systems biology studies aimed at understanding the common principles and particular lifestyle adaptions of systems across bacteria. Abasy Atlas contains systems and system-level elements for 50 regulatory networks comprising 78 649 regulatory interactions covering 42 bacteria in nine taxa, containing 3708 regulons and 1776 systems. All this brings together a large corpus of data that will surely inspire studies to generate hypothesis regarding the principles governing the evolution and organization of systems and the functional architectures controlling them.Database URL: http://abasy.ccg.unam.mx.

Indexed as

Database Management SystemsDatabases, GeneticBacteriaComputational BiologyGene Expression Regulation, BacterialGene Regulatory NetworksGenome, BacterialInternet

Identifiers

PMID27242034
PMCPMC4885605
OpenAlexW2406600562

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.