Building a spatial transcriptomics infrastructure for isoform profiling in aging pre-neoplastic tissues

Summary

This project aims to develop and apply a spatial transcriptomics infrastructure for full-length RNA isoform profiling in aging pre-neoplastic breast tissues to understand cancer initiation, and to create data sharing and visualization tools for the research community.

What they want

The project will first develop approaches to spatially map and analyze full-length RNA isoforms within tissue sections by merging long-read sequencing (LR-seq) and spatial transcriptomics. These technologies will then be applied to generate a spatial map of full-length RNA isoforms in healthy breast tissues and tumors during aging. Finally, data sharing and visualization tools will be developed to enable researchers to access and mine the generated spatial isoform expression data via a web resource.

Deliverables

Approaches/tools to map and analyze full-length RNA isoforms spatially within tissue sections (merging LR-seq and spatial transcriptomics)
A spatial map of full-length RNA isoforms in healthy breast tissues and tumors during aging
Data sharing and visualization tools for spatial isoform expression via a web resource
A spatial transcriptomic infrastructure for isoform profiling
A critical interdisciplinary data resource for aging and cancer researchers

Technical requirements

Spatial transcriptomics approaches
Long-read sequencing (LR-seq)
Data sharing and visualization tools (web resource)

Key personnel

Expertise in alternative splicing and breast cancer (Anczukow lab)
Expertise in systems biology and spatial transcriptomics analysis (Chuang lab)

Market context

inferred from NAICS

Professional, Scientific & Technical Services

NAICS 541714

US market size: $2.0T
Typical award: $25K – $50M

Typical buyers

All federal civilianDoDStates

Commonly required

8(a)WOSBSDVOSBPE/PMP

Sector-level estimate — full code lookup not yet in catalog.