Lauren Bauer

ORCID: 0000-0002-0947-7652
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Pluripotent Stem Cells Research
  • Stress Responses and Cortisol
  • Molecular Biology Techniques and Applications
  • Hormonal Regulation and Hypertension
  • Prenatal Screening and Diagnostics
  • Cardiac Fibrosis and Remodeling
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Urban, Neighborhood, and Segregation Studies
  • Reproductive Biology and Fertility
  • Adrenal Hormones and Disorders
  • MicroRNA in disease regulation
  • Congenital heart defects research
  • Neurogenesis and neuroplasticity mechanisms
  • AI in cancer detection
  • Homelessness and Social Issues
  • Renal and related cancers
  • Prion Diseases and Protein Misfolding
  • Genomic variations and chromosomal abnormalities
  • CRISPR and Genetic Engineering
  • Signaling Pathways in Disease
  • Reading and Literacy Development
  • Genetics and Neurodevelopmental Disorders
  • Biomedical Ethics and Regulation

New York Stem Cell Foundation
2014-2024

Medical College of Wisconsin
2022

Drug discovery for diseases such as Parkinson's disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and deep learning. applied this to primary fibroblasts from 91 patients matched healthy controls, creating largest publicly available Painting image dataset date at 48 terabytes. use fixed weights a convolutional neural network trained on ImageNet...

10.1038/s41467-022-28423-4 article EN cc-by Nature Communications 2022-03-25

Abstract Post-traumatic stress disorder (PTSD) can develop following severe trauma, but the extent to which genetic and environmental risk factors contribute individual clinical outcomes is unknown. Here, we compared transcriptional responses hydrocortisone exposure in human induced pluripotent stem cell (hiPSC)-derived glutamatergic neurons peripheral blood mononuclear cells (PBMCs) from combat veterans with PTSD ( n = 19 hiPSC 20 PBMC donors) controls donors). In only, observed...

10.1038/s41593-022-01161-y article EN cc-by Nature Neuroscience 2022-10-20

STUDY QUESTIONWhat is the prevalence and developmental significance of morphologic nuclear abnormalities in human preimplantation embryos?

10.1093/humrep/dev281 article EN Human Reproduction 2015-11-29

Astrocytes are instrumental in maintaining central nervous system (CNS) homeostasis and responding to injury. A major limitation of studying neurodegenerative diseases like multiple sclerosis (MS) is lack human pathological specimens obtained during the acute stages, thereby relegating research post-mortem years after initiation pathology. Rodent reactive astrocytes have been shown be cytotoxic neurons oligodendrocytes but may differ from cells, especially with genetic susceptibility....

10.3389/fnmol.2022.874299 article EN cc-by Frontiers in Molecular Neuroscience 2022-05-06

Induced pluripotent stem cells (iPSCs) derived from patients with neurodegenerative disease generally lack neuropathological confirmation, the gold standard for classification and grading of severity. The use tissue a definitive diagnosis would be an ideal source iPSCs. challenge to this approach is that majority biobanked brain was not meant growing live cells, thus frozen in presence cryoprotectants such as DMSO. We report generation iPSCs non-cryoprotected dural stored at −80°C up 11...

10.1186/2051-5960-2-4 article EN cc-by Acta Neuropathologica Communications 2014-01-07

Drug discovery for diseases such as Parkinson’s disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and deep learning. applied this to primary fibroblasts from 91 patients matched healthy controls, creating largest publicly available Painting image dataset date at 48 terabytes. use fixed weights a convolutional neural network trained on ImageNet...

10.1101/2020.11.13.380576 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2020-11-16
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