Single Cell Expression Analysis - Data Linked

This assay quantifies gene expression at single-cell resolution by linking individual cell transcriptomic profiles to associated experimental or clinical data, enabling integrative analysis across multiple data modalities. Single-cell RNA sequencing (scRNA-seq) technology is employed to capture and measure the transcriptional activity of individual cells, generating high-dimensional expression matrices that are subsequently processed through quality control, normalization, and dimensionality reduction pipelines. The linked data framework facilitates downstream analyses such as cell type classification, differential expression, and trajectory inference, supporting the investigation of cellular heterogeneity and gene regulatory dynamics within complex biological samples.

SEEK ID: https://fairdomhub.org/assays/2449

Experimental assay

Projects: Hi-IMPAcTB

Investigation: IMPAcTB

Study: CD4+ T cells re-wire granuloma cellularity and regulatory networks to promote immunomodulation following Mtb reinfection

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Assay type: Experimental Assay Type

Technology type: Technology Type

Organisms: No organisms

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Created: 16th Jul 2024 at 17:07

Last updated: 27th May 2026 at 20:52

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