1 |
Zubair M, Wang J, Yu Y, Faisal M, Qi M, Shah AU, Feng Z, Shao G, Wang Y, Xiong Q. Proteomics approaches: A review regarding an importance of proteome analyses in understanding the pathogens and diseases. Front Vet Sci 2022;9:1079359. [PMID: 36601329 DOI: 10.3389/fvets.2022.1079359] [Reference Citation Analysis]
|
2 |
Singer SN, Ndumnego OC, Kim RS, Ndung'u T, Anastos K, French A, Churchyard G, Paramithiothis E, Kasprowicz VO, Achkar JM. Plasma host protein biomarkers correlating with increasing Mycobacterium tuberculosis infection activity prior to tuberculosis diagnosis in people living with HIV. EBioMedicine 2022;75:103787. [PMID: 34968761 DOI: 10.1016/j.ebiom.2021.103787] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
|
3 |
Halliday A, Jain P, Hoang L, Parker R, Tolosa-wright M, Masonou T, Green N, Boakye A, Takwoingi Y, Hamilton S, Mandagere V, Fries A, Coin L, Deeks J, White PJ, Levin M, Beverley P, Kon OM, Lalvani A. New technologies for diagnosing active TB: the VANTDET diagnostic accuracy study. Efficacy Mech Eval 2021;8:1-160. [DOI: 10.3310/eme08050] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
4 |
Garay-Baquero DJ, White CH, Walker NF, Tebruegge M, Schiff HF, Ugarte-Gil C, Morris-Jones S, Marshall BG, Manousopoulou A, Adamson J, Vallejo AF, Bielecka MK, Wilkinson RJ, Tezera LB, Woelk CH, Garbis SD, Elkington P. Comprehensive plasma proteomic profiling reveals biomarkers for active tuberculosis. JCI Insight 2020;5:137427. [PMID: 32780727 DOI: 10.1172/jci.insight.137427] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 6.0] [Reference Citation Analysis]
|
5 |
Sun J, Shi Q, Chen X, Liu R. Decoding the similarities and specific differences between latent and active tuberculosis infections based on consistently differential expression networks. Brief Bioinform 2020;21:2084-98. [PMID: 31724702 DOI: 10.1093/bib/bbz127] [Reference Citation Analysis]
|
6 |
Bisht D, Sharma D, Sharma D, Singh R, Gupta VK. Recent insights into Mycobacterium tuberculosis through proteomics and implications for the clinic. Expert Review of Proteomics 2019;16:443-56. [DOI: 10.1080/14789450.2019.1608185] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
|
7 |
Liu Q, Pan L, Han F, Luo B, Jia H, Xing A, Li Q, Zhang Z. Proteomic profiling for plasma biomarkers of tuberculosis progression. Mol Med Rep 2018;18:1551-9. [PMID: 29901122 DOI: 10.3892/mmr.2018.9134] [Cited by in Crossref: 4] [Cited by in F6Publishing: 8] [Article Influence: 0.8] [Reference Citation Analysis]
|
8 |
Muthu M, Deenadayalan A, Ramachandran D, Paul D, Gopal J, Chun S. A state-of-art review on the agility of quantitative proteomics in tuberculosis research. TrAC Trends in Analytical Chemistry 2018;102:369-378. [DOI: 10.1016/j.trac.2018.02.004] [Reference Citation Analysis]
|
9 |
Moulder R, Bhosale SD, Goodlett DR, Lahesmaa R. Analysis of the plasma proteome using iTRAQ and TMT-based Isobaric labeling. Mass Spectrom Rev 2018;37:583-606. [PMID: 29120501 DOI: 10.1002/mas.21550] [Cited by in Crossref: 82] [Cited by in F6Publishing: 86] [Article Influence: 13.7] [Reference Citation Analysis]
|
10 |
Manikandan M, Deenadayalan A, Vimala A, Gopal J, Chun S. Clinical MALDI mass spectrometry for tuberculosis diagnostics: Speculating the methodological blueprint and contemplating the obligation to improvise. TrAC Trends in Analytical Chemistry 2017;94:190-9. [DOI: 10.1016/j.trac.2017.06.014] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
|