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High IL-6 and low IL-15 levels mark the presence of TB infection: A preliminary study.
Cytokine. 2016 May;81:57-62. doi: 10.1016/j.cyto.2016.02.003. Epub 2016 Feb 13.
Cytokine. 2016.
PMID: 26878649
Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection.
Sambarey A, Prashanthi K, Chandra N.
Sambarey A, et al.
Sci Rep. 2013;3:2302. doi: 10.1038/srep02302.
Sci Rep. 2013.
PMID: 23892477
Free PMC article.
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Unbiased Identification of Blood-based Biomarkers for Pulmonary Tuberculosis by Modeling and Mining Molecular Interaction Networks.
Sambarey A, Devaprasad A, Mohan A, Ahmed A, Nayak S, Swaminathan S, D'Souza G, Jesuraj A, Dhar C, Babu S, Vyakarnam A, Chandra N.
Sambarey A, et al.
EBioMedicine. 2017 Feb;15:112-126. doi: 10.1016/j.ebiom.2016.12.009. Epub 2016 Dec 21.
EBioMedicine. 2017.
PMID: 28065665
Free PMC article.
Item in Clipboard
A molecular systems approach to modelling human skin pigmentation: identifying underlying pathways and critical components.
Raghunath A, Sambarey A, Sharma N, Mahadevan U, Chandra N.
Raghunath A, et al. Among authors: sambarey a.
BMC Res Notes. 2015 Apr 29;8:170. doi: 10.1186/s13104-015-1128-6.
BMC Res Notes. 2015.
PMID: 25925987
Free PMC article.
Item in Clipboard
Meta-analysis of host response networks identifies a common core in tuberculosis.
Sambarey A, Devaprasad A, Baloni P, Mishra M, Mohan A, Tyagi P, Singh A, Akshata JS, Sultana R, Buggi S, Chandra N.
Sambarey A, et al.
NPJ Syst Biol Appl. 2017 Feb 10;3:4. doi: 10.1038/s41540-017-0005-4. eCollection 2017.
NPJ Syst Biol Appl. 2017.
PMID: 28649431
Free PMC article.
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A multi-scale pipeline linking drug transcriptomics with pharmacokinetics predicts in vivo interactions of tuberculosis drugs.
Cicchese JM, Sambarey A, Kirschner D, Linderman JJ, Chandrasekaran S.
Cicchese JM, et al. Among authors: sambarey a.
Sci Rep. 2021 Mar 11;11(1):5643. doi: 10.1038/s41598-021-84827-0.
Sci Rep. 2021.
PMID: 33707554
Free PMC article.
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Integrative analysis of multimodal patient data identifies personalized predictors of tuberculosis treatment prognosis.
Sambarey A, Smith K, Chung C, Arora HS, Yang Z, Agarwal PP, Chandrasekaran S.
Sambarey A, et al.
iScience. 2024 Jan 29;27(2):109025. doi: 10.1016/j.isci.2024.109025. eCollection 2024 Feb 16.
iScience. 2024.
PMID: 38357663
Free PMC article.
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Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis.
Sambarey A, Smith K, Chung C, Arora HS, Yang Z, Agarwal P, Chandrasekaran S.
Sambarey A, et al.
medRxiv [Preprint]. 2022 Jul 21:2022.07.20.22277862. doi: 10.1101/2022.07.20.22277862.
medRxiv. 2022.
PMID: 35898335
Free PMC article.
Preprint.
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