What this opportunity is
The Department of Veterans Affairs is seeking quotes for test kits and reagents related to genomic research, specifically for single-cell analysis, under a full and open competition. This procurement falls under NAICS code 325413, which accommodates businesses with up to 1,250 employees, but there is no set-aside for small businesses. Interested vendors should note that this is a combined synopsis/solicitation, meaning they must track the notice for updates and submit their quotations directly, as no formal solicitation document will be issued.
Analysis by Mindy, grounded in the SAM.gov notice.
Description
Description
This is a combined synopsis/solicitation seeking domestic commercial products and commercial services prepared in accordance with the format Revolutionary FAR Overhaul (RFO) in Federal Acquisition Regulation (FAR) subpart 12.202, “Streamlined Procedures for Evaluation and Solicitation for Commercial Products and Commercial Services,” as supplemented with additional information included in this notice. This announcement constitutes the only solicitation; quotes are being requested, and a written solicitation document will not be issued.
This solicitation is issued as an RFQ. The solicitation document and incorporated provisions and clauses are those in effect through Federal Acquisition Circular 2026-01.
This solicitation has no set-aside.
The associated North American Industrial Classification System (NAICS) code for this procurement is 325413, with a small business size standard of 1,250 employees.
The FSC/PSC is 6550.
The Network Contracting Office (NCO) 1- New England is seeking to Test kits and reagents as a Firm-Fixed Price contract.
If you have any questions or concerns regarding this solicitation should be forwarded in writing via email to the Point of Contact listed below:
Tara Dossiema Tara.Dossiema@va.gov
All interested companies shall provide quotations for the following:
Line
Description
Quantity
Price
Total
0001
Single Cell Multiome ATAC + Gene Expression Reagent Bundle, 16 rxns or equal
6
$
$
0002
Single Cell Multiome ATAC + Gene Expression Reagent Bundle, 4 rxns or equal
1
$
$
0003
Chip J Single Cell Kit, 48 reactions or equal
5
$
$
0004
Single Index Kit N Set A or equal
1
$
$
0005
Dual Index Kit TT Set A, 96 reactions or equal
1
$
$
0006
Decoding Reagents (1 run, 2 slides) or equal
8
$
$
0007
Decoding Consumables (1 run, 2 slides) or equal
8
$
$
0008
Cell Segmentation Add-on Kit (2 rxns) or equal
9
$
$
0009
Slides & Sample Prep Reagents (2 slides, 2 rxns) or equal
8
$
$
(STATEMENT OF WORK)
1.0 Minimum Salient Requirements
The kits and reagents must be able to facilitate a variety of genomic research tasks related to single-cell analysis. Kits and reagents must function in the intending systems, must not void any warranties, and include:
1.1). Single-Cell RNA Sequencing (scRNA-seq),
Profiling gene expression at the single-cell level to understand cellular heterogeneity.
This research evaluates how individual cells in tissue express genes differently, which is crucial for understanding the developmental biology, disease mechanisms, and responses to treatments.
1.2). Single-Cell ATAC Sequencing (scATAC-seq)
Investigating chromatin accessibility and regulatory elements.
This technique enables research into chromatin structure and accessibility change in different cell types and under various conditions. It’s useful for studying gene regulation, transcription factor binding sites, and epigenetic modifications.
1.3). Single-Cell Multiome (RNA + ATAC)
Simultaneous profiling of gene expression and chromatin accessibility in single cells.
This is an advanced application where both RNA sequencing (scRNA-seq) and chromatin accessibility (scATAC-seq) are performed in parallel on the same cells. It allows for the study of gene expression regulation and the interaction between transcription and chromatin accessibility within individual cells.
1.4). Single-Cell DNA Sequencing (scDNA-seq),
Profiling DNA content, mutations, and genomic alterations at the single-cell level.
This is especially important in research where cells may have unique mutations or genetic alterations. It can also be used for studying genetic diversity within a population of cells in development or disease.
1.5). Spatial Transcriptomics
Mapping gene expression in tissue sections while preserving spatial context.
The spatial transcriptomics technology allows the profiling of gene expression in intact tissue sections with spatial context (i.e. gene expression can be mapped across a tissue sample without losing information about where specific genes are being expressed in relation to the tissue architecture). This is critical for understanding tissue development, organ function, and disease progression.
1.6). Cellular Barcoding (Cell Type Identification)
Identifying cell types or tracking cells across experiments.
By incorporating unique molecular barcodes, researchers can tag and track individual cells across different conditions or over time. This is useful for studying dynamic processes like differentiation, migration, and response to therapy.
1.7). Single-Cell Epigenomics
Investigating DNA methylation and histone modifications at the single-cell level.
This application provides insights into epigenetic changes that regulate gene expression.
1.8). Gene Expression Profiling of Rare Cell Populations
Analyzing rare or low-abundance cell types.
Single-cell RNA sequencing can help identify and profile rare cell populations that are difficult to detect using traditional bulk methods. This is especially useful in studying stem cells, progenitor cells, or rare disease-associated cell types.
1.9). Saliant Features necessary for postmortem brain genomics work:
Droplet-based microfluidics technology to enable highly efficient partitioning and barcoding of individual cells, allowing for accurate and scalable single-cell RNA-seq, immune profiling, and other multi-omic analyses.
High Sensitivity and Resolution: Kits must be validated for their ability to achieve exceptional depth and coverage of gene expression, even with very low input RNA, making them ideal for high-resolution single-cell analysis.
Comprehensive Applications: Kits must support a broad range of applications, including single-cell RNA sequencing, cell surface protein analysis, immune profiling, and spatial transcriptomics. These applications are critical for the success of current researc…
Source: SAM.gov, as posted. Verify the current solicitation before responding.