Abstract

The Data Interpretation Core (DIG) performs computational genomics and proteomics analyses, conducts statistical and pathway data analysis for gene expression microarray and high throughput mass spectrometric proteomics, and develops tools for data computation and modeling. This Core serves as a tool for integrative analysis of the comprehensive human genomic and proteomic data generated by the Program. Information from this Core helps correlate gene expression and protein patterns with the immuno-inflammatory phenotypes and clinical trajectories of injured patients.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM062119-09
Application #
7924080
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2009-09-01
Budget End
2010-08-31
Support Year
9
Fiscal Year
2009
Total Cost
$777,222
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
Tompkins, Ronald G (2015) Survival from burns in the new millennium: 70 years' experience from a single institution. Ann Surg 261:263-8
Brown, Joshua B; Cohen, Mitchell J; Minei, Joseph P et al. (2015) Pretrauma center red blood cell transfusion is associated with reduced mortality and coagulopathy in severely injured patients with blunt trauma. Ann Surg 261:997-1005
Efron, Philip A; Mohr, Alicia M; Moore, Frederick A et al. (2015) The future of murine sepsis and trauma research models. J Leukoc Biol 98:945-52
Seok, Junhee; Davis, Ronald W; Xiao, Wenzhong (2015) A hybrid approach of gene sets and single genes for the prediction of survival risks with gene expression data. PLoS One 10:e0122103

Showing the most recent 10 out of 199 publications