Abstract

The overall objectives of the Proteomics Core are (1) to provide high throughput comparative quantitative? proteome analysis capabilities for analyzing large scale clinical time course samples including blood leukocyte? subpopulations and blood plasma samples from trauma and burn patients; (2) to provide high quality? quantitative proteomic data that will lead to the identification of protein """"""""fingerprints"""""""" or """"""""signatures"""""""" from blood? leukocyte populations and blood plasma that are associated with specific clinical trajectories in patients with? severe trauma or burn injury, and the extraction of novel biological information regarding signaling networks? from inflammatory cells in severely injured patients with different clinical outcomes; and, (3) to integrate objectives (1) and (2) into an overall functional proteomic view of enriched T-cells and monocytes in the? context of their cellular phenotype. To achieve these goals, highly coordinated efforts with other cores and a? multitude of developments within the Proteomics Core including high throughput sample processing, high? throughput and high sensitivity instrumentation, and efficient data handling and processing are required.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
2U54GM062119-06
Application #
7195408
Study Section
Special Emphasis Panel (ZGM1-PPBC-5 (GL))
Project Start
2006-09-30
Project End
2011-08-31
Budget Start
2006-09-30
Budget End
2007-08-31
Support Year
6
Fiscal Year
2006
Total Cost
$1,515,658
Indirect Cost

  Institution

Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199

  Publications

Gale, Stephen C; Kocik, Jurek F; Creath, Robert et al. (2016) A comparison of initial lactate and initial base deficit as predictors of mortality after severe blunt trauma. J Surg Res 205:446-455
Agarwal, Shailesh; Loder, Shawn; Brownley, Cameron et al. (2016) Inhibition of Hif1? prevents both trauma-induced and genetic heterotopic ossification. Proc Natl Acad Sci U S A 113:E338-47
Lopez, Maria-Cecilia; Efron, Philip A; Ozrazgat-Baslanti, Tezcan et al. (2016) Sex-based differences in the genomic response, innate immunity, organ dysfunction, and clinical outcomes after severe blunt traumatic injury and hemorrhagic shock. J Trauma Acute Care Surg 81:478-85
Sood, Ravi F; Gibran, Nicole S; Arnoldo, Brett D et al. (2016) Early leukocyte gene expression associated with age, burn size, and inhalation injury in severely burned adults. J Trauma Acute Care Surg 80:250-7
Mathias, Brittany; Lipori, Gigi; Moldawer, Lyle L et al. (2016) Integrating ""big data"" into surgical practice. Surgery 159:371-4
Mason, Stephanie A; Nathens, Avery B; Finnerty, Celeste C et al. (2016) Hold the Pendulum: Rates of Acute Kidney Injury are Increased in Patients Who Receive Resuscitation Volumes Less than Predicted by the Parkland Equation. Ann Surg 264:1142-1147
Vanzant, Erin L; Hilton, Rachael E; Lopez, Cecilia M et al. (2015) Advanced age is associated with worsened outcomes and a unique genomic response in severely injured patients with hemorrhagic shock. Crit Care 19:77
Hsu, Jessie J; Finkelstein, Dianne M; Schoenfeld, David A (2015) Outcome-Driven Cluster Analysis with Application to Microarray Data. PLoS One 10:e0141874
Hou, Jiayi; Archer, Kellie J (2015) Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data. Stat Appl Genet Mol Biol 14:93-111
Yan, Shuangchun; Tsurumi, Amy; Que, Yok-Ai et al. (2015) Prediction of multiple infections after severe burn trauma: a prospective cohort study. Ann Surg 261:781-92

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