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Biology subjects

JI, J.

Publications and source records attributed to JI, J..

2 recordsLinked to original sources

An active-matrix digital microfluidic platform for simultaneous short- and long-read viral genomic surveillance

The outbreak frequency and geographic distribution of viral pathogens are continuously expanding, making enhanced genomic surveillance an urgent global public health need. Parallel library preparation combining next-generation sequencing (NGS) and third-generation sequencing (TGS) can substantially improve the coverage and resolution of genomic surveillance, representing a key strategy for strengthening surveillance. Here we developed a complete sample-to-result system integrating a programmable active-matrix digital microfluidic (AM-DMF) chip with a bioinformatics analysis pipeline. Compared with conventional manual protocols used in public health laboratories, our system reduces reagent consumption by 72%, shortens library preparation time by 45% and decreases the inter-batch coefficient of variation (CV) by 20%. In 20 RT-qPCR-confirmed clinical samples, the system achieved complete concordance for viral identification and assigned serotypes/genotypes consistent with sequencing-based phylogenetic analysis. This system is field-deployable and enables rapid virus serotyping as well as in-depth genomic surveillance. TeaserA digital microfluidic platform integrating short- and long-read sequencing enables rapid comprehensive viral genome analysis.

bioengineering↗

Field–Flow–Front mapping of breast cancer evolutionary dynamics in situ

Tumour progression reflects not only which clones arise but where, when and in what context they expand--dimensions genotype-centred reconstructions leave unresolved. Here we reconstruct breast cancer evolution in situ across 34 Visium HD, 16 Xenium, 32 MIBI-TOF and 10 CODEX samples, serial-section 3D reconstruction, single-cell and bulk transcriptomes, and genome-wide CRISPR dependency profiles. We partition tumours into 296 cancer microzones--stroma-bounded units within which expansion is reconstructed--and define in each a Cancer Progression Metric(CPM) coupling a transcriptomic clock to expansion geometry. Projected onto tissue, CPM yields a Field-Flow-Front model rendering progression as a continuous physical process and resolving subclonal architecture into spatially coherent domains rather than predefined branches. Unexpectedly, the most advanced fronts were not the most proliferative but low-dependency, slow-cycling populations with directional expansion, driven by an extracellular matrix programme whose evolutionary force exceeded inflammation by nearly an order of magnitude yet whose genes were the least cell-autonomous. Under chemotherapy it persisted while its clonal carriers reshuffled, marking a transferable, stroma-coupled front process--not a fixed clone--as the unit of advance. Distilled into an evolutionary advantage load, this front process predicted recurrence and survival across independent cohorts and improved on conventional staging, establishing a tissue-embedded paradigm for mapping tumour evolutionary dynamics, from local fronts to patient outcome.

Cancer Biology↗