Project description:We profiled prenatal human skin using single cell multiomic technologies to investigate the cellular and molecular changes across gestation. This dataset includes TCR transcriptomic data from single cell TCR sequencing using the 10x Genomics 5’ V(D)J Immune receptor profiling kits.
Project description:We identified the mRNA and long non-coding RNA expression profiles of 100-day fetal skin between the dark and normal (white) skin in two breeds of goats using the deep RNA sequencing method. Case-control. Briefly, the 100-day fetal skin sampled from the normal and hyperpigmentated goats for deep sequencing, in triplicate for each breed, using Illumina
Project description:Based on snSeq of back, dorsal digit and ventral digit skin from 2 fetal donations at 14 weeks EGA we report differential expression of signaling and structural molecules between different skin regions, specifically as related to the distinction between hair follicle producing and dermatoglyph producing skin.
Project description:We identified the mRNA and long non-coding RNA expression profiles of 100-day fetal skin between the dark and normal (white) skin in two breeds of goats using the deep RNA sequencing method.
Project description:Single cell RNA-seq , VDJ DNA sequencing and Bulk RNA-seq sequencing of human skin and blood CD45+ cells from HIV+ patients and healthy controls
Project description:Using single-cell RNAseq (scRNAseq) and paired VDJ analysis, we create the first comprehensive cell atlas of the healthy developing, paediatric and adult human gut, including 347,980 cells from up to 10 distinct anatomical sites. We use this data to trace the cellular composition of the gut throughout life, define novel cell markers and cell-cell interactions. We find four neuronal cell populations in the developing enteric nervous system, with expression patterns indicative of irritable bowel syndrome and Hirschsprung’s disease, and identify key cell players and communication networks initiating lymphoid structure formation in early human development.
Project description:For high-throughput sequencing and quantification of immunoglobulin repertoires, most methodologies utilise RNA. However, output varies enormously between recombined genes due to different promoter strengths and differential activation of lymphocyte subsets, precluding quantitation of recombinants on a per cell basis. To date, DNA-based approaches have used V gene primer cocktails, with substantial inherent biases. Here we describe VDJ-seq, which accurately quantitates immunoglobulin diversity at the DNA level in an unbiased manner. This is accomplished with a single primer extension step using biotinylated J gene primers. By addition of unique molecular identifiers (UMI) before primer extension, we reliably remove duplicate sequences and correct for sequencing and PCR errors. Furthermore, VDJ-seq captures productive and non-productive VDJ and DJ recombination events on a per cell basis. Library preparation takes 3 days, with 2 days of sequencing, and 1 day of data processing and analysis.
