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: METABOLOMICS OF THE ENDOSOMAL/LYSOSOMAL SYSTEM
Recipient Name:MT SINAI SCHOOL OF MEDICINE
DUNS Number: 078861598
1 GUSTAVE L LEVY PL, BOX 3500
NEW YORK-NEW YORK, NY 10029-6500

Reporting Information

Award Type*: Grant

Award Number*: 1R21NS066199-01

Final Report*: Recipient responsible for this data

Award Recipient Information

Recipient DUNS Number*: 078861598

Recipient Account Number: Recipient responsible for this data

Recipient Congressional District*: 15

Award Information

Funding Agency Code*: 7529

Awarding Agency Code*:7529

Award Date*: 06-03-2009

Amount of Award*: $ 254,250

Program Source (TAS)*: 750901

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): During recent years, the vesicles of the endosomal/lysosomal (E/L) system have emerged as key sites for the regulation of many cellular functions. Their biological importance is exemplified by the occurrence of numerous lysosomal storage diseases (LSDs), each resulting from the deficiency of a single protein in the system, that manifest with severe phenotypes, usually leading to neurodegeneration and early death. How these single gene defects can produce such severe phenotypes is not entirely clear; dissection of the metabolic changes that occur within the E/L system should provide insights towards understanding disease pathogenesis and provide new avenues for screening, early diagnosis, and monitoring of therapeutic approaches. That disease pathogenesis of the LSDs originates in the E/L system presents unique challenges for the characterization of metabolic changes in patients, since circulating biological fluids do not offer a comprehensive view of these changes and obtaining tissue samples on a regular basis is not feasible. We will use a novel approach involving exosomes to identify and characterize the metabolic changes that occur in LSDs. Exosomes are uniquely suited for this type of study because they are secreted by many cell types and are found in biological fluids such as plasma, urine, and cerebrospinal fluid and are derived from the membranes of late endosomes. Thus, they contain a subset of proteins normally found there and can serve as useful source material to characterize the changes that occur within the E/L system as a result of disease. We hypothesize that exosomes derived from disease cells will reflect protein and lipid changes that are specific to the disease. In this respect, exosomes will provide a "fingerprint" or "barcode" unique to each LSD. Here, we propose to: 1) test the hypothesis that exosomes from human disease cells have unique protein and/or lipid identifiers that will distinguish them from those of normal cells and reveal alterations of specific metabolic pathways. We will map these pathways and validatelevaluate these changes in vitro and in vivo. 2) Test the prediction that changes in glucose metabolism correlate with NPC1 disease severity and can be used to monitor disease progression. In short, this new approach is a new paradigm in metabolic analysis and will facilitate the efficient discovery/characterization of altered LSD metabolic pathways and provide us with the next step in understanding lysosomal storage disease pathogenesis.

Project Information

Project Name or Project/Program Title*: METABOLOMICS OF THE ENDOSOMAL/LYSOSOMAL SYSTEM

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: 1 GUSTAVE L LEVY PL, BOX 3500

Infrastructure Contact Street Address 2: Not Available

Infrastructure Contact Street Address 3: Recipient responsible for this data

Infrastructure City: NEW YORK-NEW YORK

Infrastructure State: NY

Infrastructure ZIP Code+4: 10029-6500

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: OF NEW YORK UNIVERSITY1 GUSTAVE L. LEVY PL, BOX 1075

Street Address 2: NEW YORK

City*: NEW YORK

State*: NY

ZIP Code+4*: 100296574

Congressional District*: 14

Country*: US

Recipient Highly Compensated Officers

Prime Recipient Indication of Reporting Applicability*: Recipient responsible for this data

1. Officer Name and Compensation: Recipient responsible for this data
2. Officer Name and Compensation: Recipient responsible for this data
3. Officer Name and Compensation: Recipient responsible for this data
4. Officer Name and Compensation: Recipient responsible for this data
5. Officer Name and Compensation: Recipient responsible for this data

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