Detecting expressed genes in cell populations at the single-cell level with scGeneXpress

Highlights

• scGeneXpress: a new computational tool designed for identifying expressed genes in single-cell RNA sequencing data.
• scGeneXpress improves the detection of genes expressed at low levels, allowing for a more precise understanding of cellular functions.
• This tool is useful for research in complex tissues, where distinguishing gene expression among different cell types is essential.
• The tool's design is accessible, making it a practical option for researchers without extensive computational expertise.
• This computational tool is relevant for cell engineering, since it enables a more accurate identification of the identity transcription factors of cell populations, which will be used for cellular conversion.

Direct Neuronal Reprogramming of NDUFS4 patient cells identifies the unfolded protein response as a novel general reprogramming hurdle

Highlights

• NDUFS4-mutant patient astrocytes are impaired in reprogramming into neurons
• Unfolded protein response inhibition improves neuronal reprogramming
• Patient iNs are affected in neuronal subtype specification
• Transient unfolded protein inhibition leads to more functional iNs

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