Abstract

The Cell Sciences Imaging Facility (CSIF) provides access to and training in high resolution, state-of-theartimaging technologies. These technologies are essential, basic tools for studying the molecular, subcellularand cellular mechanisms of cancer. The CSIF provides both fluorescence and electron microscopyservices. 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 servicelaboratory that offers sample preparation and training for both transmission and scanning electronmicroscopy technologies. Additional equipment includes all the necessary ancillary equipment forsample preparation and advanced software resources for 3D, 4D interactive, volume imaging of data setsas well as advanced deconvolution software packages. Members of six Research Programs of the CancerCenter currently use the CSIF resources. Future goals of the CSIF are the purchase of a FEG SEM forhigh-resolution study of cell and tissue topology and a spinning disk confocal for high speed, live cellimaging. The CSIF continues to actively develop its cryo- and immuno-EM technologies and is helping todevelop correlative methods for light and electron microscopy. Current and future services are essentialto 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 #
1P30CA124435-01
Application #
7438483
Study Section
Subcommittee G - Education (NCI)
Project Start
2007-06-04
Project End
2010-05-31
Budget Start
2007-06-04
Budget End
2008-05-31
Support Year
1
Fiscal Year
2007
Total Cost
$53,365
Indirect Cost

  Institution

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

  Publications

Patel, Manali I; Sundaram, Vandana; Desai, Manisha et al. (2018) Effect of a Lay Health Worker Intervention on Goals-of-Care Documentation and on Health Care Use, Costs, and Satisfaction Among Patients With Cancer: A Randomized Clinical Trial. JAMA Oncol 4:1359-1366
Trieu, Vanessa; Pinto, Harlan; Riess, Jonathan W et al. (2018) Weekly Docetaxel, Cisplatin, and Cetuximab in Palliative Treatment of Patients with Squamous Cell Carcinoma of the Head and Neck. Oncologist 23:764-e86
Kuonen, François; Surbeck, Isabelle; Sarin, Kavita Y et al. (2018) TGF?, Fibronectin and Integrin ?5?1 Promote Invasion in Basal Cell Carcinoma. J Invest Dermatol 138:2432-2442
Gee, Marvin H; Han, Arnold; Lofgren, Shane M et al. (2018) Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell 172:549-563.e16
Malta, Tathiane M; Sokolov, Artem; Gentles, Andrew J et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell 173:338-354.e15
Banerjee, Imon; Gensheimer, Michael Francis; Wood, Douglas J et al. (2018) Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. Sci Rep 8:10037
Thorsson, Vésteinn; Gibbs, David L; Brown, Scott D et al. (2018) The Immune Landscape of Cancer. Immunity 48:812-830.e14
Rogers, Zoë N; McFarland, Christopher D; Winters, Ian P et al. (2018) Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice. Nat Genet 50:483-486
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

Showing the most recent 10 out of 322 publications