The Mass Spectrometry Shared Resource is a specialized facility with the primary goal of protein identification, characterization and quantitation. CSHL has had a peptide sequencing and proteomics facility for over two decades, but the facility was extensively re-equipped in 2008 following the recommendations of the External Advisory Committee, and was housed within the Keck Structural Biology laboratory on the ground floor of the Beckman building. The Resource provides Cancer Center members with access to up-to-date mass spectrometry instrumentation and specialized technical expertise. Services used by the majority of Cancer Center members include protein and protein complex identification, characterization of protein post translational modifications, quantitative peptide MRM assays and quantitative whole-proteome screens using 2D LCMS with iTRAQ or SILAC. More specialized services have undertaken quantitative phosphoproteomic and cysteine proteomics screens, lipid and carbohydrate analyses, metabolomics profiling and specific MRM assays of drugs and other small molecule metabolites. The Shared Resource performs all the data analysis for the quantitative screens and has developed new tools for the merging of large datasets across multiple, independent experiments. All of these services are highly technical and labor intensive. Without the Mass Spectrometry Shared Resource it would be extremely difficult for individual investigators to have access to this type of instrumentation and analyses and these types of services, which are often critical to their research programs. Over the last funding period the Resource has updated HPLC equipment to allow for high-resolution ultra-high pressure liquid chromatography (UHPLC) and built a dedicated 64-processor cluster for database searching. In summary, the Shared Resource provides the user group with state-of-the-art instrumentation and advanced technical support to help accelerate cancer research at CSHL. Over the past five years, the Mass Spectrometry Shared Resource was utilized by 16 Cancer Center members (43% of members), accounting for a majority of its use. This Resource contributed to 29 publications by Cancer Center members over this time period.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA045508-33
Application #
9975720
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
33
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Cold Spring Harbor Laboratory
Department
Type
DUNS #
065968786
City
Cold Spring Harbor
State
NY
Country
United States
Zip Code
11724
Fang, Han; Huang, Yi-Fei; Radhakrishnan, Aditya et al. (2018) Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution. Cell Syst 6:180-191.e4
Lin, Kuan-Ting; Ma, Wai Kit; Scharner, Juergen et al. (2018) A human-specific switch of alternatively spliced AFMID isoforms contributes to TP53 mutations and tumor recurrence in hepatocellular carcinoma. Genome Res :
Wolff, Robert A; Wang-Gillam, Andrea; Alvarez, Hector et al. (2018) Dynamic changes during the treatment of pancreatic cancer. Oncotarget 9:14764-14790
Ryan, Niamh M; Lihm, Jayon; Kramer, Melissa et al. (2018) DNA sequence-level analyses reveal potential phenotypic modifiers in a large family with psychiatric disorders. Mol Psychiatry 23:2254-2265
Danko, Charles G; Choate, Lauren A; Marks, Brooke A et al. (2018) Dynamic evolution of regulatory element ensembles in primate CD4+ T cells. Nat Ecol Evol 2:537-548
Ahrens, Sandra; Wu, Melody V; Furlan, Alessandro et al. (2018) A Central Extended Amygdala Circuit That Modulates Anxiety. J Neurosci 38:5567-5583
Zhang, Tao; Wu, Yen-Ching; Mullane, Patrick et al. (2018) FUS Regulates Activity of MicroRNA-Mediated Gene Silencing. Mol Cell 69:787-801.e8
Arun, Gayatri; Diermeier, Sarah D; Spector, David L (2018) Therapeutic Targeting of Long Non-Coding RNAs in Cancer. Trends Mol Med 24:257-277
Giuliano, Christopher J; Lin, Ann; Smith, Joan C et al. (2018) MELK expression correlates with tumor mitotic activity but is not required for cancer growth. Elife 7:
Li, Jiahe; Wu, Connie; Wang, Wade et al. (2018) Structurally modulated codelivery of siRNA and Argonaute 2 for enhanced RNA interference. Proc Natl Acad Sci U S A 115:E2696-E2705

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