HHS Recovery Act Recipient Reporting Readiness Tool
Step 4. Review and Copy the Grant Awards Data
TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.
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Prime Recipient Report
Award Detail for: INTEGRATED MULTI-SCALE ADHESIVE DYNAMICS MODELING OF T-LYMPHOCYTE HOMINGRecipient Name:UNIVERSITY OF PENNSYLVANIA
DUNS Number: 042250712
3451 WALNUT STREET
PHILADELPHIA, PA 19104-6205
Reporting Information
Award Type*: Grant
Award Number*: 5R01AI082292-02
Final Report*: Recipient responsible for this data
Award Recipient Information
Recipient DUNS Number*: 042250712
Recipient Account Number: Recipient responsible for this data
Recipient Congressional District*: 1
Award Information
Funding Agency Code*: 7529
Awarding Agency Code*:7529
Award Date*: 06-14-2010
Amount of Award*: $ 385,555
Program Source (TAS)*: 750900
CFDA Number*: 93.701
Sub Account Number for Program Source (TAS)*: Recipient responsible for this data
Total Number of Sub Awards to Individuals*: Recipient responsible for this data
Total Amount of Sub Awards to Individuals*: Recipient responsible for this data
Total Number of Payments to Vendors less than $25,000/award*: Recipient responsible for this data
Total Amount of Payments to Vendors less than $25,000/award*: Recipient responsible for this data
Total Number of Sub Awards less than $25,000/award*: Recipient responsible for this data
Total Amount of Sub Awards less than $25,000/award*: Recipient responsible for this data
Award Description* DESCRIPTION (provided by applicant): The proper functioning of the immune system relies on T-lymphocytes to travel throughout the body and home to specialized tissues to transfer molecular information. Intimate molecular communication between cells is crucial to immune cells' maturation and activation. It has been established that lymphocyte trafficking from the blood stream and the lymphatic vessels into tissues is controlled by molecular "zip-codes" that identify the location where lymphocytes need to adhere. The zip-codes are precise, quantitative combinations of adhesion molecules and chemokines/chemokine receptor pairs on the lymphocyte and host tissue, such that when there is a "match", the lymphocyte responds by adhering rapidly. The goal of this proposal is to develop novel computational tools to understand how lymphocytes integrate and convert molecular signals into the activation of leukocyte integrins to mediate specific adhesion under flow. The basis of these tools is the integration of signal transduction networks, either involving chemokine activation of G-proteins networks or the assembly of the SLP-76 dependent "signalosome', into Adhesive Dynamics, a simulator of cell adhesion. This integrated method, called Integrated Signaling Adhesive Dynamics (ISAD) can readily predict the rate of lymphocyte firm adhesion under flow. The aims of this proposed work are to 1) extend our modeling of lymphocyte signal transduction networks to both chemokine signaling and the signalosome; 2) to integrate these models into ISAD simulations to simulate the progressive rolling and stopping of lymphocytes on defined molecular substrates; and 3) to compare our simulations with the adhesive behavior of engineered T- lymphocytes, including Jurkat cells and T cells from knock-out mice in which SLP-76 is deleted or altered, or in which diacylglycerol kinases (DGK) have been deleted. We show preliminary results that SLP-76 defects lead to a decrease in adhesiveness, and DGK defects lead to an increase in adhesiveness. The gain of function of DGK mutants is recapitulated by simulations, confirming the validity of our modeling. We will also measure and simulate how multiple chemokine signals are integrated within a single cell to give rise to adhesion, and how knock-downs of key signaling components both in T-cells and immortalized T-cells (Jurkat cells) lead to quantitative alterations in adhesion. Our comparison between simulation and experiment, and extensive sensitivity analysis, will allow us to identify ranges of parameter values consistent with experimental observations and to elucidate the key controlling pathways in lymphocyte adhesion and homing. PUBLIC HEALTH RELEVANCE: Integrated Multi-scale Adhesive Dynamics Modeling of T-lymphocyte Homing Daniel A. Hammer (PI), Gary T. Koretzky (co-PI) Relevance Human immunity requires that lymphocytes travel to specific locations within the body. The homing of lymphocyte sublines is controlled through a complex molecular zip-coding, in which surface receptors on lymphocytes bind ligands on blood vessel walls, and signals inside of lymphocytes control the trafficking patterns of lymphocytes. The goal of this proposal is to develop a computational framework for modeling the interplay between adhesion and lymphocyte signal transduction to gain a better understanding of the factors that control lymphocyte homing and hence the proper response of the immune system.
Project Information
Project Name or Project/Program Title*: INTEGRATED MULTI-SCALE ADHESIVE DYNAMICS MODELING OF T-LYMPHOCYTE HOMING
Project Status*: Recipient responsible for this data
Total Federal Amount of ARRA Funds Received/Invoiced*: Recipient responsible for this data
Number of Jobs*: Recipient responsible for this data
Description of Jobs Created*: Recipient responsible for this data
Quarterly Activities/Project Description*: Recipient responsible for this data
Activity Code (NAICS or NTEE-NPC)*: Recipient responsible for this data
Total Federal Amount of ARRA Expenditure* (Enter the cumulative total amount of Recovery Funds received that were expended to projects or activities. Refer to the Data Model for details on how to calculate this amount.): Recipient responsible for this data
Total Federal ARRA Infrastructure Expenditure Recipient responsible for this data
Infrastructure Contact Name: Recipient responsible for this data
Infrastructure Contact Email: Recipient responsible for this data
Infrastructure Contact Phone: Recipient responsible for this data
Infrastructure Contact Phone Ext: Recipient responsible for this data
Infrastructure Contact Street Address 1: 3451 WALNUT STREET
Infrastructure Contact Street Address 2: Not Available
Infrastructure Contact Street Address 3: Recipient responsible for this data
Infrastructure City: PHILADELPHIA
Infrastructure State: PA
Infrastructure ZIP Code+4: 19104-6205
Infrastructure Purpose and Rationale (If applicable, enter an explanation about how the infrastructure investment will contribute to one or more purposes of the Recovery Act. Refer to the Data Model for details on what to report. 4000 characters or less.): Recipient responsible for this data
Primary Place of Performance
Street Address 1: SKIRKANICH HALL
Street Address 2: PHILADELPHIA
City*: PHILADELPHIA
State*: PA
ZIP Code+4*: 19104291
Congressional District*: 2
Country*: US
Recipient Highly Compensated Officers
Prime Recipient Indication of Reporting Applicability*: Recipient responsible for this data
- Officer Name and Compensation: Recipient responsible for this data
- Officer Name and Compensation: Recipient responsible for this data
- Officer Name and Compensation: Recipient responsible for this data
- Officer Name and Compensation: Recipient responsible for this data
- Officer Name and Compensation: Recipient responsible for this data
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Use in the Recipient Report
The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.







