Our recently expanded Proteomics Shared Resource offers cancer researchers at the HICCC direct access to the cutting-edge proteomics technology to conduct discovery-based proteomics and targeted proteomics. During the last decade, the field of proteomics has evolved rapidly to overcome technical limitations to improve the dynamic range and reproducibility of large-scale analyses. In particular, advances in mass spectrometry (MS) instrumentation and bioinformatics for """"""""bottom-up"""""""" or """"""""shotgun"""""""" proteomic approaches have been at the core of new developments to meet the challenge of biological complexity. These methods are striving to provide a more comprehensive view of the multi-factorial processes occurring during normal development or disease progression. At the protein level, distinct changes occur during the transformation of a healthy cell into a neoplastic cell, including altered expression, differential protein modification, changes in specific activity, and aberrant subcellular localization, all ofwhich can affect cellular function. Included in this SR at CUM(J are start-to-finish protein identification and characterization services, including current quantification methods such as SILAC, which require sensitive and expensive MS-centered equipment with on-site expertise in experimental design, and state of the art informatics.

Public Health Relevance

In contrast to the genome, the proteome is rapidly dynamic, depending on the status and progression of a disease. The inherent advantage studying proteomics opposed to the genome is that the identified proteins are themselves the biological endpoint. Identifying changes of protein abundance and modifications is the underlying theme in cancer proteomics. The Proteomics Share Resource provides investigators access to state ofthe art proteomics technology and offer consultation on experimental design.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA013696-40
Application #
8753119
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-07-04
Project End
2019-06-30
Budget Start
2014-07-17
Budget End
2015-06-30
Support Year
40
Fiscal Year
2014
Total Cost
$84,983
Indirect Cost
$31,869
Name
Columbia University (N.Y.)
Department
Type
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Tzoneva, Gannie; Dieck, Chelsea L; Oshima, Koichi et al. (2018) Clonal evolution mechanisms in NT5C2 mutant-relapsed acute lymphoblastic leukaemia. Nature 553:511-514
Sitko, Austen A; Kuwajima, Takaaki; Mason, Carol A (2018) Eye-specific segregation and differential fasciculation of developing retinal ganglion cell axons in the mouse visual pathway. J Comp Neurol 526:1077-1096
Chen, Yen-Hua; Kratchmarov, Radomir; Lin, Wen-Hsuan W et al. (2018) Asymmetric PI3K Activity in Lymphocytes Organized by a PI3K-Mediated Polarity Pathway. Cell Rep 22:860-868
Wang, Gang; Biswas, Anup K; Ma, Wanchao et al. (2018) Metastatic cancers promote cachexia through ZIP14 upregulation in skeletal muscle. Nat Med 24:770-781
Cho, Galaxy Y; Schaefer, Kellie A; Bassuk, Alexander G et al. (2018) CRISPR GENOME SURGERY IN THE RETINA IN LIGHT OF OFF-TARGETING. Retina 38:1443-1455
Zyablitskaya, Mariya; Munteanu, E Laura; Nagasaki, Takayuki et al. (2018) Second Harmonic Generation Signals in Rabbit Sclera As a Tool for Evaluation of Therapeutic Tissue Cross-linking (TXL) for Myopia. J Vis Exp :
Arnes, Luis; Liu, Zhaoqi; Wang, Jiguang et al. (2018) Comprehensive characterisation of compartment-specific long non-coding RNAs associated with pancreatic ductal adenocarcinoma. Gut :
Petersen-Jones, Simon M; Occelli, Laurence M; Winkler, Paige A et al. (2018) Patients and animal models of CNG?1-deficient retinitis pigmentosa support gene augmentation approach. J Clin Invest 128:190-206
Sones, Jennifer L; Merriam, Audrey A; Seffens, Angelina et al. (2018) Angiogenic factor imbalance precedes complement deposition in placentae of the BPH/5 model of preeclampsia. FASEB J 32:2574-2586
Park, Karen Sophia; Xu, Christine L; Cui, Xuan et al. (2018) Reprogramming the metabolome rescues retinal degeneration. Cell Mol Life Sci 75:1559-1566

Showing the most recent 10 out of 331 publications