See the abstract below: Methods for the analysis of time series single cell expression data (scRNA ... and -st for initialized structure). This specifies the single cell RNA-Seq expression data. If ...

Tempora is a novel cell trajectory inference method that orders cells using time information from time-series scRNAseq data. Tempora uses biological pathway information to help identify cell type ...

To maintain its effectiveness, the immune system produces highly specialized cell types that work together to prevent, preserve the memory and eliminate threats (1). Meanwhile, human immune system ...

The Single Cell & Transcriptomics Core provides cost-effective and time-efficient access ... and third generation sequencing technologies, microarrays, Nanostring nCounter and qPCR. We offer high ...

The most complex engineering of human cell lines ever has been achieved by scientists, revealing that our genomes are more ...

Here, single-cell RNA sequencing (scRNA-seq) was used to identify various meniscus cell subsets and investigate the mechanism of meniscus degeneration. Methods scRNA-seq was used to identify cell ...

While traditional approaches struggle to handle the immense amount of data generated from measuring both RNA and protein ... of data from a single-cell technology known as CITE-seq.

Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq ... interest in cancer research because it poses ...

The field was further propelled forward by the development of single-cell (sc) RNA-seq technologies, offering an even broader ... states of health and disease, all across time and space in fishes.