Aparna Nathan

Aparna Nathan

Lecturer in Biomedical Informatics
Associate Director, Master of Biomedical Informatics (MBI) Program

Aparna Nathan studies T cell states in the context of infectious and autoimmune diseases through multimodal analysis of single-cell data from disease cohorts. She earned her PhD in Bioinformatics and Integrative Genomics from Harvard University and conducted her thesis research in Soumya Raychaudhuri’s lab. In her graduate work, she identified T cell states associated with tuberculosis progression and rheumatoid arthritis, and developed a single-cell-resolution model of state-dependent expression quantitative trait loci.

Aparna currently teaches and oversees capstone projects in the Master of Biomedical Informatics program. Her current research is focused on leveraging single-cell data to characterize state-dependent regulatory effects of genetic variants implicated in disease.

DBMI Courses
Identifying genetic variants that influence the abundance of cell states in single-cell data.
Authors: Rumker L, Sakaue S, Reshef Y, Kang JB, Yazar S, Alquicira-Hernandez J, Valencia C, Lagattuta KA, Mah-Som A, Nathan A, Powell JE, Loh PR, Raychaudhuri S.
Nat Genet
View full abstract on Pubmed
Estimating the sensitivity of genomic newborn screening for treatable inherited metabolic disorders.
Authors: Bick SL, Nathan A, Park H, Green RC, Wojcik MH, Gold NB.
Genet Med
View full abstract on Pubmed
Clonal associations between lymphocyte subsets and functional states in rheumatoid arthritis synovium.
Authors: Dunlap G, Wagner A, Meednu N, Wang R, Zhang F, Ekabe JC, Jonsson AH, Wei K, Sakaue S, Nathan A, Bykerk VP, Donlin LT, Goodman SM, Firestein GS, Boyle DL, Holers VM, Moreland LW, Tabechian D, Pitzalis C, Filer A, Raychaudhuri S, Brenner MB, Thakar J, McDavid A, Rao DA, Anolik JH.
Nat Commun
View full abstract on Pubmed
History of tuberculosis disease is associated with genetic regulatory variation in Peruvians.
Authors: Nieto-Caballero VE, Reijneveld JF, Ruvalcaba A, Innocenzi G, Abeydeera N, Asgari S, Lopez K, Iwany SK, Luo Y, Nathan A, Fernandez-Salinas D, Chiñas M, Huang CC, Zhang Z, León SR, Calderon RI, Lecca L, Budzik JM, Murray M, Van Rhijn I, Raychaudhuri S, Moody DB, Suliman S, Gutierrez-Arcelus M.
PLoS Genet
View full abstract on Pubmed
The chromatin landscape of pathogenic transcriptional cell states in rheumatoid arthritis.
Authors: Weinand K, Sakaue S, Nathan A, Jonsson AH, Zhang F, Watts GFM, Al Suqri M, Zhu Z, Rao DA, Anolik JH, Brenner MB, Donlin LT, Wei K, Raychaudhuri S.
Nat Commun
View full abstract on Pubmed
Granzyme K drives a newly-intentified pathway of complement activation.
Authors: Donado CA, Jonsson AH, Theisen E, Zhang F, Nathan A, Rupani KV, Jones D, Raychaudhuri S, Dwyer DF, Brenner MB.
bioRxiv
View full abstract on Pubmed
Reproducible single cell annotation of programs underlying T-cell subsets, activation states, and functions.
Authors: Kotliar D, Curtis M, Agnew R, Weinand K, Nathan A, Baglaenko Y, Zhao Y, Sabeti PC, Rao DA, Raychaudhuri S.
bioRxiv
View full abstract on Pubmed