Mitochondria carry their own genetic information encoding for a subset of protein-coding
genes and translational machinery essential for cellular respiration and metabolism. Despite …

Single-cell transcriptomics has broadened our understanding of cellular diversity and gene
expression dynamics in healthy and diseased tissues. Recently, spatial transcriptomics has …

Systematic evaluation of the impact of genetic variants is critical for the study and treatment
of human physiology and disease. While specific mutations can be introduced by genome …

Single-cell transcriptomics has become the definitive method for classifying cell types and
states, and can be augmented with genotype information to improve cell lineage …

Deep single-cell multi-omic profiling offers a promising approach to understand and
overcome drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML). Here …

The field of tumour dormancy, originally defined as a clinical phenomenon of late recurrence
after a long, apparently disease-free period, has seen significant advances that now allow …

Leukemia relapse is a major cause of death after allogeneic hematopoietic cell
transplantation (allo-HCT). We tested the potential of targeting T cell (Tc) immunoglobulin …

Cancer initiation is orchestrated by an interplay between tumor-initiating cells and their
stromal/immune environment. Here, by adapted single-cell RNA sequencing, we decipher …

Identifying true DNA cellular barcodes among polymerase chain reaction and sequencing
errors is challenging. Current tools are restricted in the diversity of barcode types supported …

Single-cell sequencing is a technique for detecting and analyzing genomes, transcriptomes,
and epigenomes at the single-cell level, which can detect cellular heterogeneity lost in …