Abstract

) The Cell Analysis Shared Resource provides researcher access to flow cytometry and cell sorting. The goal of the Cell Analysis Shared Resource is to provide comprehensive data collection, data analysis, data interpretation and education in flow cytometry to all interested investigators. This includes proper sample preparation as well as education in theory and practice of flow cytometry. The Cell Analysis Shared Resource provides basic direction on the set up and processing of specimens for flow analysis. These include: immunofluorescence (1-4 colors, 1-7 parameters); surface expression of standard CD markers; specialized expression of surface markers with custom antibodies; gene transduction/expression; green fluorescent protein; receptor expression; apoptosis; Annexin V binding; caspase activity; DNA analysis; cell cycle assays; apoptosis (A0 determination); cancer therapy; kinetic studies (time dependent assay); cell sorting; enrichment; purification; single cell cloning; new protocol development; and preliminary studies to bring new techniques into the repertoire of available services of the Cell Analysis Shared Resource. The Cell Analysis Shared Resource provides data analysis of flow cytometric data utilizing the most current versions of analysis software.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA036727-16
Application #
6345991
Study Section
Project Start
2000-09-01
Project End
2001-07-31
Budget Start
Budget End
Support Year
16
Fiscal Year
2000
Total Cost
Indirect Cost

  Institution

Name
University of Nebraska Medical Center
Department
Type
DUNS #
City
Omaha
State
NE
Country
United States
Zip Code
68198

  Publications

Won, Harim I; Schulze, Thomas T; Clement, Emalie J et al. (2018) De novo Assembly of the Burying Beetle Nicrophorus orbicollis (Coleoptera: Silphidae) Transcriptome Across Developmental Stages with Identification of Key Immune Transcripts. J Genomics 6:41-52
Zhou, Jiuli; Zeng, Yongji; Cui, Lian et al. (2018) Zyxin promotes colon cancer tumorigenesis in a mitotic phosphorylation-dependent manner and through CDK8-mediated YAP activation. Proc Natl Acad Sci U S A 115:E6760-E6769
Das, Binita; Neilsen, Beth K; Fisher, Kurt W et al. (2018) A Functional Signature Ontology (FUSION) screen detects an AMPK inhibitor with selective toxicity toward human colon tumor cells. Sci Rep 8:3770
Qazi, Asif Khurshid; Siddiqui, Jawed A; Jahan, Rahat et al. (2018) Emerging therapeutic potential of graviola and its constituents in cancers. Carcinogenesis 39:522-533
Hsu, Alice H; Lum, Michelle A; Shim, Kang-Sup et al. (2018) Crosstalk between PKC? and PI3K/AKT Signaling Is Tumor Suppressive in the Endometrium. Cell Rep 24:655-669
Svechkarev, Denis; Sadykov, Marat R; Bayles, Kenneth W et al. (2018) Ratiometric Fluorescent Sensor Array as a Versatile Tool for Bacterial Pathogen Identification and Analysis. ACS Sens 3:700-708
Contreras, Jacob I; Robb, Caroline M; King, Hannah M et al. (2018) Chemical Genetic Screens Identify Kinase Inhibitor Combinations that Target Anti-Apoptotic Proteins for Cancer Therapy. ACS Chem Biol 13:1148-1152
Qi, Bowen; Crawford, Ayrianne J; Wojtynek, Nicholas E et al. (2018) Indocyanine green loaded hyaluronan-derived nanoparticles for fluorescence-enhanced surgical imaging of pancreatic cancer. Nanomedicine 14:769-780
Berger, Ann M; Kupzyk, Kevin A; Djalilova, Dilorom M et al. (2018) Breast Cancer Collaborative Registry informs understanding of factors predicting sleep quality. Support Care Cancer :
Svechkarev, Denis; Mohs, Aaron M (2018) Organic fluorescent dye-based nanomaterials: Advances in the rational design for imaging and sensing applications. Curr Med Chem :

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