In the last decade, single-cell RNA sequencing routinely performed on large numbers of
single cells has greatly advanced our understanding of the underlying heterogeneity of …

Proteomics plays a vital role in biomedical research in the post-genomic era. With the
technological revolution and emerging computational and statistic models, proteomic …

Triggering receptor expressed on myeloid cells 2 (TREM2) is strongly linked to Alzheimer's
disease (AD) risk, but its functions are not fully understood. Here, we found that TREM2 …

Many biological processes are executed and regulated through the molecular interactions of
proteins and nucleic acids. Proximity labeling (PL) is a technology for tagging the …

The blood proteome holds great promise for precision medicine but poses substantial
challenges due to the low abundance of most plasma proteins and the vast dynamic range …

Ovarian cancer (OC) is a heterogeneous disease with the highest mortality rate and the
poorest prognosis among gynecological malignancies. Because of the absence of specific …

Learning is traditionally studied in biological or computational systems. The power of
learning frameworks in solving hard inverse problems provides an appealing case for the …

The inability to make broad, minimally biased measurements of a cell's proteome stands as
a major bottleneck for understanding how gene expression translates into cellular …

LC3/ATG8 has long been appreciated to play a central role in autophagy, by which a variety
of cytoplasmic materials are delivered to lysosomes and eventually degraded. However …

Methods that enable rapid, sensitive and specific analyses of nucleic acid sequences have
positive effects on precise disease diagnostics and effective clinical treatments by providing …