drop-seq (Broad Institute Inc)
90
Structured Review
Broad Institute Inc
drop-seq
Drop Seq, supplied by Broad Institute 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/product/drop-seq/dropseq/pm40158457-47-35-7
Average 90 stars, based on 1 article reviews
Drop Seq, supplied by Broad Institute 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/product/drop-seq/dropseq/pm40158457-47-35-7
Average 90 stars, based on 1 article reviews
drop-seq - by Bioz Stars,
2026-09
90/100 stars
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Generated:Article Title: Unraveling Alzheimer’s disease: insights from single-cell sequencing and spatial transcriptomic Article Snippet: Two of the most widely used platforms for scRNA-seq are droplet-based methods (e.g., 10x Genomics, Drop-seq) and plate-based methods (e.g., SMART-seq, CEL-Seq), each with distinct strengths and limitations ( ). Article Title: scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data. Article Snippet: Accurate cell type annotation is fundamentally critical for single-cell sequencing (scRNA-seq) data analysis to provide insightful knowledge of tissue-specific cell heterogeneity and cell state transition tracking.. Cell type annotation is usually conducted by comparative analysis with known data (i.e., reference) – which contains a presumably accurate representation of cell types.. However, this assumption is often problematic, as factors such as human errors in wet-lab experiments and methodological limitations can introduce annotation errors in the reference dataset. Article Title: High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution Article Snippet: These rates can vary substantially across methods with ddSEQ and Drop-seq methods capturing < 2% of cells and the 10X Genomics Chromium platform having rates from ~ 30% to ~ 80% . Article Title: Recent advances in droplet‐based microfluidics in liquid biopsy for cancer diagnosis Article Snippet: In addition, Illumina has introduced Drop‐Seq technology to analyze mRNA transcripts in single‐cell droplets. Article Title: A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing Article Snippet: scRNA-seq was performed on 8 donors using Drop-seq (2 donors-D1, D2) and 10X Genomics (6 donors, D3 - D8 using the 10x Genomics 3′ RNA-seq assay). Article Title: Taming human brain organoids one cell at a time Article Snippet: Droplet-based methods (Drop-seq and Chromium 10X Genomics) and multi-well sorting methods (Smart-seq, Smart-seq2, BD-Resolve/Rhapsody) are platforms that have been used to characterize brain organoids ( ). Article Title: Applications of Single-Cell Omics Technologies for Induced Pluripotent Stem Cell-Based Cardiovascular Research. Article Snippet: Recent advancements in droplet strategies, such as Drop-seq (14), inDrops (15), and 10X Genomics, have employed distinct bead-based approaches to further enhance single-cell transcriptome profiling. Article Title: Anchor-Enhanced Bead Design for Reduced Oligonucleotide Synthesis Errors in Single-cell sequencing Article Snippet: When examining Drop-seq , we similarly observed an increase in the proportion of T throughout the UMI sequence in Illumina ( ) but in ONT sequencing ( ). Sequencing:Article Title: Unraveling Alzheimer’s disease: insights from single-cell sequencing and spatial transcriptomic Article Snippet: Two of the most widely used platforms for scRNA-seq are droplet-based methods (e.g., 10x Genomics, Drop-seq) and plate-based methods (e.g., SMART-seq, CEL-Seq), each with distinct strengths and limitations ( ). Article Title: scRCA: A Siamese network-based pipeline for annotating cell types using noisy single-cell RNA-seq reference data. Article Snippet: Accurate cell type annotation is fundamentally critical for single-cell sequencing (scRNA-seq) data analysis to provide insightful knowledge of tissue-specific cell heterogeneity and cell state transition tracking.. Cell type annotation is usually conducted by comparative analysis with known data (i.e., reference) – which contains a presumably accurate representation of cell types.. However, this assumption is often problematic, as factors such as human errors in wet-lab experiments and methodological limitations can introduce annotation errors in the reference dataset. Article Title: High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution Article Snippet: These rates can vary substantially across methods with ddSEQ and Drop-seq methods capturing < 2% of cells and the 10X Genomics Chromium platform having rates from ~ 30% to ~ 80% . Article Title: Recent advances in droplet‐based microfluidics in liquid biopsy for cancer diagnosis Article Snippet: In addition, Illumina has introduced Drop‐Seq technology to analyze mRNA transcripts in single‐cell droplets. Article Title: A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing Article Snippet: scRNA-seq was performed on 8 donors using Drop-seq (2 donors-D1, D2) and 10X Genomics (6 donors, D3 - D8 using the 10x Genomics 3′ RNA-seq assay). Article Title: Taming human brain organoids one cell at a time Article Snippet: Droplet-based methods (Drop-seq and Chromium 10X Genomics) and multi-well sorting methods (Smart-seq, Smart-seq2, BD-Resolve/Rhapsody) are platforms that have been used to characterize brain organoids ( ). Article Title: Applications of Single-Cell Omics Technologies for Induced Pluripotent Stem Cell-Based Cardiovascular Research. Article Snippet: Recent advancements in droplet strategies, such as Drop-seq (14), inDrops (15), and 10X Genomics, have employed distinct bead-based approaches to further enhance single-cell transcriptome profiling. Article Title: Anchor-Enhanced Bead Design for Reduced Oligonucleotide Synthesis Errors in Single-cell sequencing Article Snippet: When examining Drop-seq , we similarly observed an increase in the proportion of T throughout the UMI sequence in Illumina ( ) but in ONT sequencing ( ). |