Publications by authors named "K Saeb-Parsy"

The gastrointestinal tract is a multi-organ system crucial for efficient nutrient uptake and barrier immunity. Advances in genomics and a surge in gastrointestinal diseases has fuelled efforts to catalogue cells constituting gastrointestinal tissues in health and disease. Here we present systematic integration of 25 single-cell RNA sequencing datasets spanning the entire healthy gastrointestinal tract in development and in adulthood.

View Article and Find Full Text PDF

Aging epithelia are colonized by somatic mutations, which are subjected to selection influenced by intrinsic and extrinsic factors. The lack of suitable culture systems has slowed the study of this and other long-term biological processes. Here, we describe epithelioids, a facile, cost-effective method of culturing multiple mouse and human epithelia.

View Article and Find Full Text PDF
Article Synopsis
  • The Human Endometrial Cell Atlas (HECA) is a comprehensive single-cell reference atlas derived from 313,527 cells, profiling endometrial samples from 63 women, both with and without endometriosis.
  • HECA not only categorizes known cell types but also identifies new ones, utilizing advanced techniques like spatial transcriptomics and validation through an independent single-nuclei dataset.
  • The findings reveal significant cellular interactions in the endometrium, suggest potential dysregulation of specific cell types in endometriosis, and position HECA as a crucial tool for understanding endometrial health and related disorders.
View Article and Find Full Text PDF

As the dimensionality, throughput and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas: an interactive web application that enables dimensionality reduction of cytometry data without down-sampling and that is compatible with datasets stained with non-identical panels. FlowAtlas bridges the user-friendly environment of FlowJo and computational tools in Julia developed by the scientific machine learning community, eliminating the need for coding and bioinformatics expertise.

View Article and Find Full Text PDF

For many adult human organs, tissue regeneration during chronic disease remains a controversial subject. Regenerative processes are easily observed in animal models, and their underlying mechanisms are becoming well characterized, but technical challenges and ethical aspects are limiting the validation of these results in humans. We decided to address this difficulty with respect to the liver.

View Article and Find Full Text PDF