Srimeenakshi Srinivasan

The paper develops a scalable workflow for transcriptomic profiling of urinary exRNA during pregnancy, identifying differentially expressed exRNAs associated with pregnancy-related changes.

The paper identifies molecular signatures in human blastocysts associated with successful implantation by analyzing gene expression and cell-cell interactions in embryos with different morphological grades.

This study identifies and validates three bivariate extracellular miRNA biomarkers for early diagnosis and subtype distinction of preeclampsia using maternal serum samples.

This study compares miRNA profiling methods using synthetic pools and exRNA samples, finding significant differences in reproducibility, accuracy, and sensitivity across platforms.

This study evaluates the accuracy, reproducibility, and bias of small RNA-seq across five protocols and nine labs, finding protocol-specific bias that can be mitigated with adapters and computational corrections.