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
This track collection contains two bar chart tracks of RNA expression in ileum
cells where cells are grouped by cell type
(Ileum Cells) or donor
(Ileum Donor). The default track
displayed is Ileum 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 Ileum Donor track
is colored by donor for improved clarity.
Using single-cell RNA sequencing, RNA profiles of intestinal epithelial cells
were obtained for 6,167 cells from two human ileum samples. Tissue samples
belonged to a male donor age 60 with Neuroendocrine Carcinoma (Ileum-1) and a
female donor age 67 with Adenocarcinoma (Ileum-2). The healthy intestinal
mucous membranes used for each sample were cut away from the tumor border in
surgically removed ileum 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 PE150.
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