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Sathe, Gajanan

0000-0002-6239-5365

Mayo Clinic

Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India.

Citations 2

Identification of a rare [Gγ(Aγδβ)0] ‐thalassemia using tandem mass spectrometry
Bellad, Anikha , Rangiah, Kannan , Appadorai, Pragalatha Kumar, Lokanatha, Hemalatha, Murthy, Pradeep Rudra, Gowdra, Aruna, Pandey, Akhilesh , Sathe, Gajanan , Pandey, Akhilesh , Bellad, Anikha , Sathe, Gajanan , Dey, Gourav

PROTEOMICS | January 11, 2024 | Volume: 24 | Issue: 14 | Pages: No page available

10.1002/pmic.202300495 Get It

AbstractThalassemias are a group of inherited monogenic disorders characterized by defects in the synthesis of one or more of the globin chain subunits of the hemoglobin tetramer. Delta‐beta (δβ‐) thalassemia has large deletions in the β globin gene cluster involving δ‐ and β‐globin genes, leading to absent or reduced synthesis of both δ‐ and β‐globin chains. Here, we used direct globin‐chain analysis using tandem mass spectrometry for the diagnosis of δβ‐thalassemia. Two cases from unrelated families were recruited for the study based on clinical and hematological evaluation. Peptides obtained after trypsin digestion of proteins extracted from red blood cell pellets from two affected individuals and their parents were analyzed using liquid chromatography‐tandem mass spectrometry (LC‐MS/MS). Mass spectrometric analysis revealed a severe reduction in δ, β, and Aγ globin proteins with increased Gγ globin protein in the affected individuals. The diagnosis of Gγ(Aγδβ)0 ‐thalassemia in the homozygous state in the affected individuals and in the heterozygous state in the parents was made from our results. The diagnosis was confirmed at the genetic level using multiplex ligation‐dependent probe amplification (MLPA). Our findings demonstrate the utility of direct globin protein quantitation using LC‐MS/MS to quantify individual globin proteins reflecting changes in globin production. This approach can be utilized for accurate and timely diagnosis of hemoglobinopathies, including rare variants, where existing diagnostic methods provide inconclusive results.
Proteomic Signatures of Diffuse and Intestinal Subtypes of Gastric Cancer
Singh, Smrita , Bhat, Mohd Younis, Sathe, Gajanan , Gopal, Champaka, Sharma, Jyoti , Madugundu, Anil K. , Joshi, Neha , Pandey, Akhilesh , Pandey, Akhilesh , Pandey, Akhilesh , Singh, Smrita , Joshi, Neha S , Sathe, Gajanan

Cancers | November 28, 2021 | Volume: 13 | Issue: 23 | Pages: 5930

10.3390/cancers13235930 Get It

Gastric cancer is a leading cause of death from cancer globally. Gastric cancer is classified into intestinal, diffuse and indeterminate subtypes based on histology according to the Laurén classification. The intestinal and diffuse subtypes, although different in histology, demographics and outcomes, are still treated in the same fashion. This study was designed to discover proteomic signatures of diffuse and intestinal subtypes. Mass spectrometry-based proteomics using tandem mass tags (TMT)-based multiplexed analysis was used to identify proteins in tumor tissues from patients with diffuse or intestinal gastric cancer with adjacent normal tissue control. A total of 7448 or 4846 proteins were identified from intestinal or diffuse subtype, respectively. This quantitative mass spectrometric analysis defined a proteomic signature of differential expression across the two subtypes, which included gremlin1 (GREM1), bcl-2-associated athanogene 2 (BAG2), olfactomedin 4 (OLFM4), thyroid hormone receptor interacting protein 6 (TRIP6) and melanoma-associated antigen 9 (MAGE-A9) proteins. Although GREM1, BAG2, OLFM4, TRIP6 and MAGE-A9 have all been previously implicated in tumor progression and metastasis, they have not been linked to intestinal or diffuse subtypes of gastric cancer. Using immunohistochemical labelling of a tissue microarray comprising of 124 cases of gastric cancer, we validated the proteomic signature obtained by mass spectrometry in the discovery cohort. Our findings should help investigate the pathogenesis of these gastric cancer subtypes and potentially lead to strategies for early diagnosis and treatment.