[HTML][HTML] Single-cell analysis reveals inflammatory interactions driving macular degeneration

M Kuchroo, M DiStasio, E Song, E Calapkulu… - Nature …, 2023 - nature.com
Due to commonalities in pathophysiology, age-related macular degeneration (AMD) represents
a uniquely accessible model to investigate therapies for neurodegenerative diseases, …

[HTML][HTML] The increased densities, but different distributions, of both C3 and S100A10 immunopositive astrocyte-like cells in Alzheimer's disease brains suggest …

A King, B Szekely, E Calapkulu, H Ali, F Rios, S Jones… - Brain Sciences, 2020 - mdpi.com
There is increasing evidence of astrocyte dysfunction in the pathogenesis of Alzheimer’s
disease (AD). Animal studies supported by human post-mortem work have demonstrated two …

Topological analysis of single-cell data reveals shared glial landscape of macular degeneration and neurodegenerative diseases

M Kuchroo, M DiStasio, E Calapkulu, M Ige, L Zhang… - Biorxiv, 2021 - biorxiv.org
1 One Sentence Summary A novel topological machine learning approach applied to single-nucleus
RNA sequencing from human retinas with age-related macular degeneration …

[HTML][HTML] Cross-species single-cell transcriptomic analysis reveals factors limiting human Müller glial-derived retinal regeneration

R Dhodapkar, D Martell, E Calapkulu… - … & Visual Science, 2022 - iovs.arvojournals.org
Purpose: Reactive Müller glial cells in humans do not display the regenerative characteristics
of those in zebrafish. We performed the first single-nucleus RNA sequencing of retina from …

Topological Analysis of Single-Cell Hierarchy Reveals Inflammatory Glial Landscape of Macular Degeneration

M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang… - papers.ssrn.com
Age-related macular degeneration (AMD) is a degenerative disease of the retina with unknown
cellular drivers. To identify, characterize, and compare rare pathogenic clusters of cells, …

[HTML][HTML] Studying Disease Dynamics with Manifold Learning

MR Kuchroo - 2022 - search.proquest.com
In an effort to computationally predict causal genetic networks and derive biological pathways
empirically, biomedical scientists have begun to design increasingly complicated single …

Persistent homology for high-dimensional data based on spectral methods

S Damrich, P Berens, D Kobak - arXiv preprint arXiv:2311.03087, 2023 - arxiv.org
Persistent homology is a popular computational tool for detecting non-trivial topology of point
clouds, such as the presence of loops or voids. However, many real-world datasets with …

[CITATION][C] Multigranular Topological Analysis of Single Cells Integrates the Glial Landscape of Retinal and Brain Degeneration

…, M Kuchroo, E Calapkulu… - JOURNAL OF …, 2021 - … DEPT, 2001 EVANS RD, CARY, NC …