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:This is a droplet-based single cell transcriptome data set from 13 human fetal livers (6-18 PCW) and 8 skin and kidney samples (6-12 PCW). It includes 199,642 cells with a mean detected gene number of 3000.
Project description:Lisbon lemon trees were grafted with budwood infected with the citrus greening bacterium, 'Candidatus Liberibacter asiaticus', or control budwood, and leaf samples were collected every two weeks post graft for LC/MS analysis. This project has shotgun proteomics data for leaf samples from 5 control and 5 CLas grafted trees at the 14 week post graft timepoint.
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:The immune system of skin develops in stages in mice. However, the developmental dynamics of immune cells in human skin remains elusive. Here we perform transcriptome profiling of CD45+ hematopoietic cells in human fetal skin at an estimated gestational age of 10–17 weeks by single-cell RNA sequencing. A total of 13 immune cell types are identified. Skin macrophages show heterogeneity and dynamic over the course of skin development. A major shift in lymphoid cell developmental states occurs from the first to the second trimester that implied an in situ differentiation process. Gene expression analysis reveals a typical developmental program in immune cells in accordance with their functional maturation, possibly involving metabolic reprogramming. Finally, we identify transcription factors (TFs) that potentially regulate cellular transitions by comparing TFs and TF-target gene networks. These findings provide detailed insight into how the immune system of the human skin is established during development