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Fig. 3 | Genome Biology

Fig. 3

From: Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets

Fig. 3

Collecting an integrated dataset of orthogonal assays from the same tissue block across donors and tissues. The development and benchmarking of deconvolution algorithms can be improved with gold standard reference datasets. Gold standards are developed across donors and tissues on which multiple assays are performed on the same tissue block. For example, adjacent sections of a tissue block could be used for spatial transcriptomics, sc/snRNA-seq, bulk/homogenate RNA-seq, and single-molecule FISH (smFISH) to generate orthogonal cell type proportion and transcriptomic profile measurements. These assays generate data with distinct features (i.e., gene expression, cell size/shape, isoform diversity, etc.) that can also be incorporated into deconvolution models to improve accuracy

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Genome Biology

ISSN: 1474-760X

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