Aparna Nathan

Aparna Nathan

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

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
The genetic basis of autoimmunity seen through the lens of T cell functional traits.
Authors: Lagattuta KA, Park HL, Rumker L, Ishigaki K, Nathan A, Raychaudhuri S.
Nat Commun
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High-dimensional phenotyping to define the genetic basis of cellular morphology.
Authors: Tegtmeyer M, Arora J, Asgari S, Cimini BA, Nadig A, Peirent E, Liyanage D, Way GP, Weisbart E, Nathan A, Amariuta T, Eggan K, Haghighi M, McCarroll SA, O'Connor L, Carpenter AE, Singh S, Nehme R, Raychaudhuri S.
Nat Commun
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Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution.
Authors: Kang JB, Shen AZ, Gurajala S, Nathan A, Rumker L, Aguiar VRC, Valencia C, Lagattuta KA, Zhang F, Jonsson AH, Yazar S, Alquicira-Hernandez J, Khalili H, Ananthakrishnan AN, Jagadeesh K, Dey K, Daly MJ, Xavier RJ, Donlin LT, Anolik JH, Powell JE, Rao DA, Brenner MB, Gutierrez-Arcelus M, Luo Y, Sakaue S, Raychaudhuri S.
Nat Genet
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Dynamic regulatory elements in single-cell multimodal data implicate key immune cell states enriched for autoimmune disease heritability.
Authors: Gupta A, Weinand K, Nathan A, Sakaue S, Zhang MJ, Donlin L, Wei K, Price AL, Amariuta T, Raychaudhuri S.
Nat Genet
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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.
bioRxiv
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Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes.
Authors: Zhang F, Jonsson AH, Nathan A, Millard N, Curtis M, Xiao Q, Gutierrez-Arcelus M, Apruzzese W, Watts GFM, Weisenfeld D, Nayar S, Rangel-Moreno J, Meednu N, Marks KE, Mantel I, Kang JB, Rumker L, Mears J, Slowikowski K, Weinand K, Orange DE, Geraldino-Pardilla L, Deane KD, Tabechian D, Ceponis A, Firestein GS, Maybury M, Sahbudin I, Ben-Artzi A, Mandelin AM, Nerviani A, Lewis MJ, Rivellese F, Pitzalis C, Hughes LB, Horowitz D, DiCarlo E, Gravallese EM, Boyce BF, Moreland LW, Goodman SM, Perlman H, Holers VM, Liao KP, Filer A, Bykerk VP, Wei K, Rao DA, Donlin LT, Anolik JH, Brenner MB, Raychaudhuri S.
Nature
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Immunosuppression causes dynamic changes in expression QTLs in psoriatic skin.
Authors: Xiao Q, Mears J, Nathan A, Ishigaki K, Baglaenko Y, Lim N, Cooney LA, Harris KM, Anderson MS, Fox DA, Smilek DE, Krueger JG, Raychaudhuri S.
Nat Commun
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Methods and Insights from Single-Cell Expression Quantitative Trait Loci.
Authors: Kang JB, Raveane A, Nathan A, Soranzo N, Raychaudhuri S.
Annu Rev Genomics Hum Genet
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Single-cell genomics meets human genetics.
Authors: Cuomo ASE, Nathan A, Raychaudhuri S, MacArthur DG, Powell JE.
Nat Rev Genet
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The T cell receptor sequence influences the likelihood of T cell memory formation.
Authors: Lagattuta KA, Nathan A, Rumker L, Birnbaum ME, Raychaudhuri S.
bioRxiv
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