Abstract

The Genomics Core is responsible for the conduct of genome-wide expression analyses on blood T-cell,? monocyte, and neutrophil samples obtained from trauma and burned patients. The Core will also conduct? genome wide expression analyses on other non-blood tissues (primarily skin, muscle and fat) obtained from? the burn patients. The activities of the Core are divided into two principal components: (1) routine analyses of? samples generated from the PORC site initially using the macroscale techniques (see CSSP Core), and (2)? methods development to conduct genome wide expression analysis on ever reducing quantities of RNA,? derived from enriched cell populations obtained by'macroscale, and subsequently by microfluidics techniques.? Data obtained from this Core generates meaningful data on the gene expression response to severe trauma? and burn injury.

  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 #
7195406
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
$2,199,317
Indirect Cost

  Institution

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

  Publications

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
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
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
Kutcher, Matthew E; Howard, Benjamin M; Sperry, Jason L et al. (2015) Evolving beyond the vicious triad: Differential mediation of traumatic coagulopathy by injury, shock, and resuscitation. J Trauma Acute Care Surg 78:516-23

Showing the most recent 10 out of 199 publications