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10x Genomics was founded in 2012 by Serge Saxonov, Ben Hindson and Kevin Ness to create advanced testing equipment for use in cellular biology. [3] Prior to starting the company, Saxonov was the founding architect, and director of research and development at 23andMe. [2]
Combining FACS with scRNA-seq has produced optimized protocols such as SORT-seq. [8] A list of studies that utilized SORT-seq can be found here. [9] Moreover, combining microfluidic devices with scRNA-seq has been optimized in 10x Genomics protocols. [10]
Method Reference Sequencing Mode Early Estimate Late Estimate Tang method [2]Short Reads 2008 2009 CyTOF [3]Short Reads 2011 2012 STRT-seq / C1 [4]Short Reads
Paired-end and long-read sequencing of the same sample can mitigate the deficits in short read sequencing by serving as a template or skeleton. Metrics to assess the quality of a de novo assembly include median contig length, number of contigs and N50. [66] RNA-Seq alignment with intron-split short reads.
Following this lawsuit, 10x Genomics discontinued their linked-read assay. [15] An exception was made for linked-read products which had already been sold by the company prior to the lawsuit, allowing 10x Genomics to continue to provide those researchers with services such as support and warranty maintenance for this technology. [citation needed]
Previous efforts of coupling index-sorting measurements from single cell sorts with scRNA-seq were limited to running a small sample size and were not compatible with multiplexing and massive parallel high-throughput sequencing. CITE-seq has been shown to be compatible with high-throughput microfluidic platforms like 10X Genomics and Drop-seq ...
Like typical next-generation sequencing experiments, single-cell sequencing protocols generally contain the following steps: isolation of a single cell, nucleic acid extraction and amplification, sequencing library preparation, sequencing, and bioinformatic data analysis. It is more challenging to perform single-cell sequencing than sequencing ...
Spatial transcriptomics, or spatially resolved transcriptomics, is a method that captures positional context of transcriptional activity within intact tissue. [1] The historical precursor to spatial transcriptomics is in situ hybridization, [2] where the modernized omics terminology refers to the measurement of all the mRNA in a cell rather than select RNA targets.