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Kaiqiang, Y.

Publications and source records attributed to Kaiqiang, Y..

2 recordsLinked to original sources

Decomap-seq enables efficient and reliable retrieval of spatial transcripts

Spatial transcriptomics (ST) has emerged as a transformative tool for resolving the molecular heterogeneity of complex tissues within their native anatomical context. However, next-generation sequencing (NGS)-based ST platforms frequently encounter sensitivity bottlenecks arising from sub-optimal probe architectures on solid substrates. Conventional single-stranded DNA coupling methods often lead to disordered interfacial molecular conformations due to non-specific nucleobase-mediated surface tethering, which creates steric hindrance and inhibits the enzymatic efficiency of in situ library preparation. Here, we present Decomap (double-strand protected combinatorial barcoding microarray chip), a high-performance ST platform utilizing a triple-segment (dsZ-X-Y) fabrication strategy to achieve superior transcript capture efficiency. This structural optimization significantly enhances DNA ligation kinetics and subsequent polymerase-mediated extension, overcoming the fundamental limitations of traditional single-stranded coupling strategies. Decomap-seq achieved a median detection of 7,200 genes and 29,097 UMIs per 50 m-spot at a sequencing saturation of 50.1%. These results validate Decomap as a highly sensitive and robust tool for spatial transcriptomics, offering a powerful platform for advancing research in histopathology, developmental biology, and neuroscience.

biochemistry↗

Defining specific cell states of MPTP-induced Parkinson's disease by single-nucleus RNA sequencing

Parkinsons disease (PD), a neurodegenerative disease with the impairment of movement execution that is related to age, genetic and environmental factors. 1-methyl-4-phenyl-1,2,3,6-tetrahydropyri-dine (MPTP) is a neurotoxin widely used to induce PD models, but the effect of MPTP on cell-gene of PD has not been fully elucidated. By single-nucleus RNA sequencing, we uncovered the PD-specific cells and revealed remarkable changes in their cellular states, including astrocytosis, endothelial cells absence, as well as a cluster of PD-exclusive medium spiny neuron cells. Furthermore, trajectory analysis of astrocyte and endothelial cells populations predicted candidate target gene sets that might be associated with PD. Notably, the detailed regulatory roles of astrocyte-specific transcription factors Dbx2 and Sox13 in PD were first revealed in our work. Finally, we characterized the cell-cell communications of PD-specific cells and found that the overall communication strength was enhanced in PD compared with matched control, especially the signaling pathways of NRXN and NEGR. Our work provides comprehensive overview on the changes of cellular states of the MPTP-induced mouse brain.

neuroscience↗