Deconvolution of cell mixtures in “bulk” transcriptomic samples from homogenate human
tissue is important for understanding disease pathologies. However, several experimental …

The era of genomic medicine has allowed acute myeloid leukemia (AML) researchers to
improve disease characterization, optimize risk-stratification systems, and develop new …

Background RNA profiling technologies at single-cell resolutions, including single-cell and
single-nuclei RNA sequencing (scRNA-seq and snRNA-seq, scnRNA-seq for short), can …

Staphylococcus aureus skin colonization and eosinophil infiltration are associated with
many inflammatory skin disorders, including atopic dermatitis, bullous pemphigoid …

Human bulk tissue samples comprise multiple cell types with diverse roles in disease
etiology. Conventional transcriptome-wide association study approaches predict genetically …

Deciphering cell-type heterogeneity is crucial for systematically understanding tissue
homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient …

Mature plant leaves are a composite of distinct cell types, including epidermal, mesophyll,
and vascular cells. Notably, the proportion of these cells and the relative transcript …

Single-cell RNA sequencing (scRNA-Seq) is a recent technology that allows for the
measurement of the expression of all genes in each individual cell contained in a sample …

Parkinson's disease (PD) is a chronic and progressive neurodegenerative disease leading
to motor dysfunction and, in some cases, dementia. Transcriptome analysis is one promising …

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and
large-scale molecular studies. However, we still lack consensus on a more foundational …