SCGAP at Princeton and Penn
Home   |   Overview   |   Investigators   |   Data   |   Resources   |   Publications   |   Contacts

  Ihor Lemischka  [web]
Professor of Molecular Biology
University of Princeton, USA

The laboratory of Dr. Ihor Lemischka brings molecular expertise, and a long history of in vivo, in vitro, and genomic analyses of murine hematopoietic stem and progenitor cells. The laboratory also maintains the Stem Cell Database (SCDb).

  Kateri Moore [web]
Research Molecular Biologist
University of Princeton, USA

The laboratory of Dr. Kateri Moore is focused on the hematopoietic microenvironment and has developed in in vitro system that is very potent in its abilities to support the long-term functional activities of both mouse and human stem and progenitor cells. The laboratory also maintains the Stromal Cell Database (StroCDB).

  Paul Simmons  [web]
Associate Professor
Peter MacCallum Cancer Institute, Melbourne, Australia

The laboratory of Dr. Paul Simmons provides expertise in the purification of the human hematopoietic hierarchy obtained from distinct tissue sources. This laboratory also provides a broad range of quantitative in intro and murine xenograft in vivo assays to accurately assess the biological activities of cell populations to be used in molecular analyses.

  Esmail Zanjani  [web]
Professor, Dept. of Animal Biotechnology
University of Nevada, USA

The laboratory of Dr. Esmail Zanjani brings expertise in the in utero sheep xenograft system as an assay for human hematopoietic stem cell activity.

  Chris Stoeckert  [web]
Research Associate Professor, Dept. of Genetics
University of Pennsylvania, USA

The laboratory of Dr. Chris Stoeckert brings state-of-the-art computational and bioinformatic expertise. Of primary importance are the Genomics Unified Schema (GUS) and the RNA Abundance Database (RAD).

  Lyle Ungar  [web]
Associate Professor of Computer and Information Science
University of Pennsylvania, USA

The group of Dr. Lyle Ungar will focus on the higher level computational analyses of gene expression data from stem and progenitor cells. In particular, the efforts will be made to identify regulatory networks from large amounts of DNA microarray gene expression data.