This Government Contract opportunity from Department Of Health And Human Services was posted on June 22, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Transcriptomic and Gene Expression Analysis (RNA-Seq)

Closed

Federal

Submission Closed07/06/2026, 05:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541715

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Solicitation # WS5642957262

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POSTED

DEADLINE

R3PEATS Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1)The R3PEATS Multi-Team Triangulation initiative, managed by the National Institutes of Health under the Department of Health and Human Services, focuses on collaborative cross-method approaches to scientific discovery. This program supports coordinated teams investigating central biomedical research questions using complementary populations, model systems, or methods. A primary objective is to enhance scientific excellence by identifying signal robustness and biological variability while integrating replication directly into the research design. This effort is part of the broader NIH Common Fund program dedicated to Rigor, Replicability, and Reproducibility to Promote Excellence, Accuracy, and Translation in Science. The opportunity is currently listed as a forecast with a posted date of September 11, 2026, and interested parties can contact the R3PEATS Program for further information.

National Institutes Of Health

POSTED

1 day ago

DEADLINE

N/A

AI Contract Overview

The contract calls for the performance of RNA sequencing to assess transcriptional changes in organoids after prolonged exposure to pharmaceutical agents, with a focus on identifying differential gene expression patterns, conducting comprehensive pathway analysis, and delivering interpreted results that link molecular responses to drug effects. The work requires technical expertise in next-generation sequencing, bioinformatics, and biological data analysis to generate actionable insights from complex transcriptomic datasets derived from organoid models. The solicitation is issued as a subcontract under the U.S. Department of Health and Human Services, specifically by the FDA Office of Acquisition and Grant Services, and is classified under NAICS code 541715 for Research and Development in the Physical, Engineering, and Life Sciences. The opportunity was posted on June 22, 2026, with a strict response deadline of July 6, 2026, at 5:00 PM. The place of performance and point of contact details are not specified, and no set-aside provisions apply. Bidders must be prepared to meet rigorous analytical standards and deliver scientifically valid interpretations aligned with regulatory research objectives.

General Info

RNA sequencing of organoids to analyze drug-induced gene expression and pathway changes for FDA regulatory research.

Agency

Department Of Health And Human Services → FDA Office Of Acq Grant SvcsView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

MD, USA

Set-Aside

NONE

Documents

This scope was carved out of 75F40126Q134171.

The full solicitation package (2 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

CNS Organoid Neuropharmacological Analysis

AI Contract Breakdown

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Timeline

PhaseClosed

PostedJun 22

subcontract

Response DeadlineJul 6

Deadline has passed

Submission Closed

07/06/2026, 05:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Health And Human Services → FDA Office Of Acq Grant Svcs

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Health And Human Services → FDA Office Of Acq Grant Svcs

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

Perform RNA sequencing to evaluate transcriptional changes in organoids following chronic drug exposure, including differential gene expression, pathway analysis, and data interpretation.