spatial transcriptomics st-seq Search Results


st-seq samples  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc st-seq samples
St Seq Samples, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/st-seq samples/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
st-seq samples - by Bioz Stars, 2026-04
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st-seq  (Spatial Transcriptomics Inc)
90
Spatial Transcriptomics Inc st-seq
Applications of single-cell transcriptome sequencing in different fields. ( a ) Large-scale cell mapping construction, the first whole-body organellar transcriptome mapping in a non-human primate, the rhesus macaque . ( b ) Oncology research: pan-cancer analyses on bone marrow cells from 210 patients with 15 different human cancer types using single-cell transcriptome sequencing . ( c ) Neuroscience research: hippocampus of humans, rhesus monkeys, and pigs . ( d ) Developmental biology: human prefrontal cortex gene expression from gestation to adulthood , embryo and Arabidopsis leaves . ( e ) Cell subpopulation refinement and rare cell type identification: liver and kidney . ( f ) Stem cells research: resurrection stem cells in the mouse intestine, which can be activated through injury . ( g ) Applications in microbiology: protocols for bacterial single-cell <t>transcriptomics</t> . ( h ). Single-cell transcriptome reveals drug resistance in cancer cells. ( i ) Integration and utilization of single-cell datasets: “anchor” different datasets together, which not only integrates single-cell sequencing data with different scRNA-seq technologies, but also integrates single-cell sequencing data with different modalities .
St Seq, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/st-seq/product/Spatial Transcriptomics Inc
Average 90 stars, based on 1 article reviews
st-seq - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Applications of single-cell transcriptome sequencing in different fields. ( a ) Large-scale cell mapping construction, the first whole-body organellar transcriptome mapping in a non-human primate, the rhesus macaque . ( b ) Oncology research: pan-cancer analyses on bone marrow cells from 210 patients with 15 different human cancer types using single-cell transcriptome sequencing . ( c ) Neuroscience research: hippocampus of humans, rhesus monkeys, and pigs . ( d ) Developmental biology: human prefrontal cortex gene expression from gestation to adulthood , embryo and Arabidopsis leaves . ( e ) Cell subpopulation refinement and rare cell type identification: liver and kidney . ( f ) Stem cells research: resurrection stem cells in the mouse intestine, which can be activated through injury . ( g ) Applications in microbiology: protocols for bacterial single-cell transcriptomics . ( h ). Single-cell transcriptome reveals drug resistance in cancer cells. ( i ) Integration and utilization of single-cell datasets: “anchor” different datasets together, which not only integrates single-cell sequencing data with different scRNA-seq technologies, but also integrates single-cell sequencing data with different modalities .

Journal: Biology

Article Title: The Advancement and Application of the Single-Cell Transcriptome in Biological and Medical Research

doi: 10.3390/biology13060451

Figure Lengend Snippet: Applications of single-cell transcriptome sequencing in different fields. ( a ) Large-scale cell mapping construction, the first whole-body organellar transcriptome mapping in a non-human primate, the rhesus macaque . ( b ) Oncology research: pan-cancer analyses on bone marrow cells from 210 patients with 15 different human cancer types using single-cell transcriptome sequencing . ( c ) Neuroscience research: hippocampus of humans, rhesus monkeys, and pigs . ( d ) Developmental biology: human prefrontal cortex gene expression from gestation to adulthood , embryo and Arabidopsis leaves . ( e ) Cell subpopulation refinement and rare cell type identification: liver and kidney . ( f ) Stem cells research: resurrection stem cells in the mouse intestine, which can be activated through injury . ( g ) Applications in microbiology: protocols for bacterial single-cell transcriptomics . ( h ). Single-cell transcriptome reveals drug resistance in cancer cells. ( i ) Integration and utilization of single-cell datasets: “anchor” different datasets together, which not only integrates single-cell sequencing data with different scRNA-seq technologies, but also integrates single-cell sequencing data with different modalities .

Article Snippet: Although Spatial Transcriptomics (ST-seq) can obtain both spatial location information and the gene expression data of cells, it currently falls short of single-cell precision.

Techniques: Sequencing, Gene Expression, Single-cell Transcriptomics