This track shows data from Single-cell transcriptome analysis reveals differential
nutrient absorption functions in human intestine. Droplet-based
single-cell RNA sequencing (scRNA-seq) was used to survey gene expression
profiles of the epithelium in the human ileum, colon, and rectum. A total of 7
cell clusters were identified: enterocytes (EC), goblet cells (G), paneth-like
cells (PLC), enteroendocrine cells (EEC), progenitor cells (PRO),
transient-amplifying cells (TA) and stem cells (SC).
This track collection contains two bar chart tracks of RNA expression in rectum
cells where cells are grouped by cell type
(Rectum Cells) or donor
(Rectum Donor). The default track
displayed is Rectum Cells.
The cell types are colored by which class they belong to according to the following table.
Cells that fall into multiple classes will be colored by blending the colors associated
with those classes. Note that the Rectum Donor track
is colored by donor for improved clarity.
Using scRNA-seq, RNA profiles of intestinal epithelial cells were obtained for
3,898 cells from two human rectum samples. Tissue samples belonged to two
female donors diagnosed with Adenocarcinoma age 66 (Rectum-1) and age 50
(Rectum-2). The healthy intestinal mucous membranes used for each sample were
cut away from the tumor border in surgically removed rectal tissue.
Additionally, the intestinal tissues were washed in Hank's balanced salt
solution (HBSS) to remove mucus, blood cells, and muscle tissue. The sample was
enriched for epithelial cells through centrifugation before being dissociated
with Tryple to obtain single-cell suspensions. RNA-seq libraries were prepared
using 10x Genomics 3' v2 kit and sequenced on an Illumina Hiseq X Ten
The cell/gene matrix and cell-level metadata was downloaded from the
UCSC Cell Browser.
The UCSC command line utility matrixClusterColumns, matrixToBarChart, and bedToBigBed were used
to transform these into a bar chart format bigBed file that can be visualized. The coloring
was done by defining colors for the broad level cell classes and then using another UCSC utility,
hcaColorCells, to interpolate the colors across all cell types. The UCSC utilities can be found on
our download server.
The raw bar chart data can be
explored interactively with the Table
Browser or the Data Integrator. For
automated analysis, the data may be queried from our REST API. Please refer to our mailing
list archives for questions, or our Data Access FAQ for more
Thanks to Yalong Wang, Wanlu Song, and to the many authors who worked on
producing and publishing this data set. The data were integrated into the UCSC
Genome Browser by Jim Kent and Brittney Wick then reviewed by Luis Nassar. The
UCSC work was paid for by the Chan Zuckerberg Initiative.
Wang Y, Song W, Wang J, Wang T, Xiong X, Qi Z, Fu W, Yang X, Chen YG.
Single-cell transcriptome analysis reveals differential nutrient absorption functions in human
J Exp Med. 2020 Feb 3;217(2).
PMID: 31753849; PMC: PMC7041720