Publications by authors named "Joseph Catallini"
Spatially resolved transcriptomics (SRT) is a growing field that links gene expression to anatomical context. SRT approaches that use next-generation sequencing (NGS) combine RNA sequencing with histological or fluorescent imaging to generate spatial maps of gene expression in intact tissue sections. These technologies directly couple gene expression measurements with high-resolution histological or immunofluorescent images that contain rich morphological information about the tissue under study.
View Article and Find Full Text PDFElectrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance.
Proc Natl Acad Sci U S A
January 2022
Article Synopsis
- Neurons derived from human induced pluripotent stem cells (hiPSCs) are being studied to understand neuropsychiatric disorders, particularly schizophrenia (SCZ), focusing on how these cellular models relate to the patients' clinical features.
- Researchers analyzed neurons from 13 individuals with high genetic risk for SCZ and 15 neurotypical individuals, finding significant differences in their electrophysiological properties.
- This research suggests that specific neuronal functions can be linked to clinical symptoms, providing insights that could inform the development of new treatments for SCZ.
We used the 10x Genomics Visium platform to define the spatial topography of gene expression in the six-layered human dorsolateral prefrontal cortex. We identified extensive layer-enriched expression signatures and refined associations to previous laminar markers. We overlaid our laminar expression signatures on large-scale single nucleus RNA-sequencing data, enhancing spatial annotation of expression-driven clusters.
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