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Rv1985c-Driven Transcriptional Network Rewiring Underlies Lineage-Specific Phenotypes in Mycobacterium tuberculosis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.14.943365Source: DataRank Database

Rv1985c-Driven Transcriptional Network Rewiring Underlies Lineage-Specific Phenotypes in Mycobacterium tuberculosis is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)SDGs (2)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (13)

Sònia Borrell ORCID,Andrej Trauner ORCID,Sebastian M. Gygli ORCID,Tige R. Rustad ORCID,Julia Feldmann ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W3006113660

Swiss National Science Foundation

Grant: 164171

Mixed strain infections in human tuberculosis: their role in biology, epdemiology and clinical outcome

Swiss National Science Foundation

Grant: 161435

The host-pathogen protein interactome of Mycobacterium tuberculosis

Swiss National Science Foundation

Grant: 177163

Host-pathogen genomic interactions and their phenotypic impact in human tuberculosis

National Institutes of Health

Grant: 1U19AI106761-01

Administrative Core

European Commission

Grant: 309540

Compensatory Evolution and Epistasis in Multidrug-resistant Mycobacterium tuberculosis

greenLicense: https://www.biorxiv.org/about/FAQ#license

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2020/02/14/2020.02.14.943365.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.02.14.943365

repositoryhttps://doi.org/10.1101/2020.02.14.943365

Fields of Study

Tuberculosis Research and EpidemiologyBioinformatics and Genomic NetworksMycobacterium research and diagnosis0301 basic medicine03 medical and health sciences

Keywords

Lineage (genetic)Mycobacterium tuberculosisPhenotypeTuberculosisBiologyComputational biologyGeneticsGeneMedicinePathology

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being