Abstract

The Cell Sciences Imaging Facility (CSIF) provides access to and training in high resolution, state-of-theart imaging technologies. These technologies are essential, basic tools for studying the molecular, subcellular and cellular mechanisms of cancer. The CSIF provides both fluorescence and electron microscopy services. The Facility has three advanced imaging systems that provide confocal, deconvolution, and 2- photon fluorescent light microscopy technologies. For electron microscopy, the Facility has a full service laboratory that offers sample preparation and training for both transmission and scanning electron microscopy technologies. Additional equipment includes all the necessary ancillary equipment for sample preparation and advanced software resources for 3D, 4D interactive, volume imaging of data sets as well as advanced deconvolution software packages. Members of six Research Programs of the Cancer Center currently use the CSIF resources. Future goals of the CSIF are the purchase of a FEG SEM for high-resolution study of cell and tissue topology and a spinning disk confocal for high speed, live cell imaging. The CSIF continues to actively develop its cryo- and immuno-EM technologies and is helping to develop correlative methods for light and electron microscopy. Current and future services are essential to the study and understanding of the molecular and structural basis of cancer.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA124435-02
Application #
7623565
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
2
Fiscal Year
2008
Total Cost
$64,887
Indirect Cost

  Institution

Name
Stanford University
Department
Type
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

Nair, Viswam S; Sundaram, Vandana; Desai, Manisha et al. (2018) Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial. Am J Respir Crit Care Med 197:1220-1223
She, Richard; Jarosz, Daniel F (2018) Mapping Causal Variants with Single-Nucleotide Resolution Reveals Biochemical Drivers of Phenotypic Change. Cell 172:478-490.e15
Champion, Magali; Brennan, Kevin; Croonenborghs, Tom et al. (2018) Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response. EBioMedicine 27:156-166
Zhou, Mu; Leung, Ann; Echegaray, Sebastian et al. (2018) Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications. Radiology 286:307-315
Pollom, Erqi L; Fujimoto, Dylann K; Han, Summer S et al. (2018) Newly diagnosed glioblastoma: adverse socioeconomic factors correlate with delay in radiotherapy initiation and worse overall survival. J Radiat Res 59:i11-i18
Nørgaard, Caroline Holm; Jakobsen, Lasse Hjort; Gentles, Andrew J et al. (2018) Subtype assignment of CLL based on B-cell subset associated gene signatures from normal bone marrow - A proof of concept study. PLoS One 13:e0193249
Im, Hogune; Rao, Varsha; Sridhar, Kunju et al. (2018) Distinct transcriptomic and exomic abnormalities within myelodysplastic syndrome marrow cells. Leuk Lymphoma 59:2952-2962
Huang, Min; Zhu, Li; Garcia, Jacqueline S et al. (2018) Brd4 regulates the expression of essential autophagy genes and Keap1 in AML cells. Oncotarget 9:11665-11676
Chiou, Shin-Heng; Dorsch, Madeleine; Kusch, Eva et al. (2018) Hmga2 is dispensable for pancreatic cancer development, metastasis, and therapy resistance. Sci Rep 8:14008
Breslow, David K; Hoogendoorn, Sascha; Kopp, Adam R et al. (2018) A CRISPR-based screen for Hedgehog signaling provides insights into ciliary function and ciliopathies. Nat Genet 50:460-471

Showing the most recent 10 out of 322 publications