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Spatially resolved transcriptomics involves a set of emerging technologies that enable the transcriptomic profiling of tissues with the physical location of expressions. Although a variety of methods have been developed for data integration, most of them
Wei Liu +10 more
doaj +1 more source
Molecular profiling of resident and infiltrating mononuclear phagocytes during rapid adult retinal degeneration using single-cell RNA sequencing. [PDF]
Neuroinflammation commonly accompanies neurodegeneration, but the specific roles of resident and infiltrating immune cells during degeneration remains controversial.
Burns, Marie E +3 more
core +2 more sources
Spatial transcriptomics deconvolution at single-cell resolution using Redeconve
Computational deconvolution with single-cell RNA sequencing data as reference is pivotal to interpreting spatial transcriptomics data, but the current methods are limited to cell-type resolution.
Zixiang Zhou +3 more
doaj +1 more source
Inferring spatial and signaling relationships between cells from single cell transcriptomic data. [PDF]
Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by ...
Cang, Zixuan, Nie, Qing
core
Systems analysis of host-parasite interactions. [PDF]
Parasitic diseases caused by protozoan pathogens lead to hundreds of thousands of deaths per year in addition to substantial suffering and socioeconomic decline for millions of people worldwide.
Jamshidi, Neema +3 more
core +1 more source
Maternal recognition of pregnancy in the horse : are MicroRNAs the secret messengers? [PDF]
The signal for maternal recognition of pregnancy (MRP) has still not been identified in the horse. High-throughput molecular biology at the embryo-maternal interface has substantially contributed to the knowledge on pathways affected during MRP, but an ...
Deforce, Dieter +11 more
core +2 more sources
Multi-view graph approaches could enhance the analysis of tissue heterogeneity in spatial transcriptomics. Here, the authors develop the Spatial Transcriptomics data analysis by Multiple View Collaborative-learning - stMVC - framework, and apply it to ...
Chunman Zuo +5 more
doaj +1 more source
Bionanomedicine: A “Panacea” In Medicine? [PDF]
Recent advances in nanotechnology, biotechnology, bioinformatics, and materials science have prompted novel developments in the field of nanomedicine. Enhancements in the theranostics, computational information, and management of diseases/disorders are ...
Anurogo, D. (Dito) +2 more
core +1 more source
Enabling precision medicine in neonatology, an integrated repository for preterm birth research. [PDF]
Preterm birth, or the delivery of an infant prior to 37 weeks of gestation, is a significant cause of infant morbidity and mortality. In the last decade, the advent and continued development of molecular profiling technologies has enabled researchers to ...
Anderson, Rebecca +21 more
core +4 more sources
Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells.
Agnieszka Geras +11 more
doaj +1 more source

