Josh Knowles
Assistant Professor
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Josh Knowles is an Assistant Professor at Stanford University in the United States. His research interests include lipoprotein metabolism, longevity and insulin sensitivity, and the effects of dietary interventions on health outcomes. His recent publications focus on diverse topics such as lipid disorders, cardiovascular fellowship applicant diversity, and the implications of neurodevelopmental factors in schizophrenia.
Articles (17)
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
The study of neurodevelopmental molecular mechanisms in schizophrenia requires the development of adequate biological models such as patient-derived cells and their derivatives. We previously utilized cell lines with neural progenitor properties (CNON) derived from the superior or middle turbinates of patients with schizophrenia and control groups to study schizophrenia-specific gene expression. In this study, we analyzed single-cell RNA seq data from two CNON cell lines (one derived from an individual with schizophrenia (SCZ) and the other from a control group) and two biopsy samples from the middle turbinate (MT) (also from an individual with SCZ and a control). We compared our data with previously published data regarding the olfactory neuroepithelium and demonstrated that CNON originated from a single cell type present both in middle turbinate and the olfactory neuroepithelium and expressed in multiple markers of mesenchymal cells. To define the relatedness of CNON to the developing human brain, we also compared CNON datasets with scRNA-seq data derived from an embryonic brain and found that the expression profile of the CNON closely matched the expression profile one of the cell types in the embryonic brain. Finally, we evaluated the differences between SCZ and control samples to assess the utility and potential benefits of using CNON single-cell RNA seq to study the etiology of schizophrenia.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Collaborators (10)
Christopher ODonnell
VP, Global Head, Cardiovascular and Metabolism Translational Medicine
Novartis
Summer Ngo
Stanford University School of Medicine
Oleg V. Evgrafov
-
Nadine Nagy
Stanford University
Pankaj Arora
Associate Professor
The University of Alabama
Thomas Martin
Assistant Clinical Professor
UCSD
Cynthia Monaco
Assistant Professor
University of Rochester Medical Center
Timothy Hatlen
The Lundquist Institute
Jenny Hendriks
Head Biomarkers
Janssen (Netherlands)
Paul Kilgore
Associate Professor
Wayne State University
Make your next move.
Prepare your application
Review drafts before you send them.