Droplet-based glycan and RNA sequencing for profiling the distinct cellular glyco-states in single cells
Plate-based single-cell glycan and RNA sequencing (scGR-seq) is previously developed to realize the integrated analysis…
Browsing: Publications
RENGE infers gene regulatory networks using time-series single-cell RNA-seq data with CRISPR perturbations
Single-cell RNA-seq analysis coupled with CRISPR-based perturbation has enabled the inference of gene regulatory networks…
SUM-seq – scalable ultra-high-throughput single-cell chromatin and RNA sequencing
Enhancers and transcription factors (TFs) are crucial in regulating cellular processes, including disease-associated cell states.…
Transcriptomics data can be integrated to derive a holistic representation of the phenotypic heterogeneity of the TME
The cellular and molecular heterogeneity of tumors is a major obstacle to cancer immunotherapy. Here,…
scAN1.0 – a reproducible and standardized pipeline for processing 10X single cell RNAseq data
Single cell transcriptomics has recently seen a surge in popularity, leading to the need for…
The hidden power of intracellular neighborhoods
Back in 2018, the lab of Christine Mayr, MD, PhD, at Memorial Sloan Kettering Cancer Center…
JOINTLY – interpretable joint clustering of single-cell transcriptomes
Single-cell and single-nucleus RNA-sequencing (sxRNA-seq) is increasingly being used to characterise the transcriptomic state of…
Scaling up single-cell RNA-seq data analysis with CellBridge workflow
Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of gene expression at the individual cell…
NIH researchers create single-cell RNA-seq atlas detailing early stages of zebrafish development
Zebrafish are a powerful model for studying embryonic progression in vertebrates. BEST4+ cells are labelled…
MarrowCellDLD – a microfluidic method for label-free retrieval of fragile bone marrow-derived cells
Functional bone marrow studies have focused primarily on hematopoietic progenitors, leaving limited knowledge about other…