Stanford University


Showing 1-10 of 67 Results

  • Monther Abu-Remaileh

    Monther Abu-Remaileh

    Assistant Professor of Chemical Engineering and of Genetics

    Current Research and Scholarly InterestsWe study the role of the lysosome in metabolic adaptation using subcellular omics approaches, functional genomics and innovative biochemical tools. We apply this knowledge to understand how lysosomal dysfunction leads to human diseases including neurodegeneration, cancer and metabolic syndrome.

  • Nicolas Altemose

    Nicolas Altemose

    Assistant Professor of Genetics

    Current Research and Scholarly InterestsThe Altemose Lab develops new experimental and analytical tools to study how chromatin proteins organize and regulate complex regions of the human genome.

  • Russ B. Altman

    Russ B. Altman

    Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for HAI and Professor, by courtesy, of Computer Science

    Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/

  • Euan A. Ashley

    Euan A. Ashley

    Arthur L. Bloomfield Professor of Medicine and Professor of Genetics, of Biomedical Data Science and, by courtesy, of Pathology

    Current Research and Scholarly InterestsThe Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve the diagnosis of genetic disease and to personalize the practice of medicine. At the wet bench, we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality in biological pathways and find targets for therapeutic development.

  • Laura Attardi

    Laura Attardi

    Catharine and Howard Avery Professor of the School of Medicine and Professor of Genetics

    Current Research and Scholarly InterestsOur research is aimed at defining the pathways of p53-mediated apoptosis and tumor suppression, using a combination of biochemical, cell biological, and mouse genetic approaches. Our strategy is to start by generating hypotheses about p53 mechanisms of action using primary mouse embryo fibroblasts (MEFs), and then to test them using gene targeting technology in the mouse.

  • Amir Bahmani

    Amir Bahmani

    Instructor, Genetics

    BioAmir Bahmani is a Genetics Instructor and Director of Stanford's Deep Data Research Center (https://deepdata.stanford.edu) at Stanford School Medicine. He has been working on distributed and parallel computing applications since 2008. Currently, Amir is an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), the Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Integrated Personal Omics Profiling (iPOP) and Bridge to Artificial Intelligence (Bridge2AI).

  • Julie Baker

    Julie Baker

    Professor of Genetics

    Current Research and Scholarly InterestsWe examine how cells communicate and function during fetal development. The work in my laboratory focuses on the establishment of specific cell fates using genomics to decipher interactions between chromatin and developmental signaling cascades, between genomes and rapidly evolving cell types, and between genomic copy number variation and gene expression. In recent years we have focused on the vastly understudied biology of the trophoblast lineage, particularly how this lineage evolved.

  • Maria Barna

    Maria Barna

    Associate Professor of Genetics

    Current Research and Scholarly InterestsOur lab studies how intricate control of gene expression and cell signaling is regulated on a minute-by-minute basis to give rise to the remarkable diversity of cell types and tissue morphology that form the living blueprints of developing organisms. Work in the Barna lab is presently split into two main research efforts. The first is investigating ribosome-mediated control of gene expression genome-wide in space and time during cellular differentiation and organismal development. This research is opening a new field of study in which we apply sophisticated mass spectrometry, computational biology, genomics, and developmental genetics, to characterize a ribosome code to gene expression. Our research has shown that not all of the millions of ribosomes within a cell are the same and that ribosome heterogeneity can diversify how genomes are translated into proteomes. In particular, we seek to address whether fundamental aspects of gene regulation are controlled by ribosomes harboring a unique activity or composition that are tuned to translating specific transcripts by virtue of RNA regulatory elements embedded within their 5’UTRs. The second research effort is centered on employing state-of-the-art live cell imaging to visualize cell signaling and cellular control of organogenesis. This research has led to the realization of a novel means of cell-cell communication dependent on a dense network of actin-based cellular extension within developing organs that interconnect and facilitate the precise transmission of molecular information between cells. We apply and create bioengineering tools to manipulate such cellular interactions and signaling in-vivo.

  • Greg Barsh

    Greg Barsh

    Professor of Genetics and of Pediatrics, Emeritus

    Current Research and Scholarly InterestsGenetics of color variation

  • Michael Bassik

    Michael Bassik

    Associate Professor of Genetics

    Current Research and Scholarly InterestsWe are an interdisciplinary lab focused on two major areas:(1) we seek to understand mechanisms of cancer growth and drug resistance in order to find new therapeutic targets(2) we study mechanisms by which macrophages and other cells take up diverse materials by endocytosis and phagocytosis; these substrates range from bacteria, viruses, and cancer cells to drugs and protein toxins. To accomplish these goals, we develop and use new technologies for high-throughput functional genomics.