[box type=”shadow” align=”alignleft” ]Scientists of Utrecht University and the Hubrecht Institute (Utrecht, the Netherlands) developed a new method for identifying rare cell types by single-cell mRNA sequencing. The newly developed algorithm, called RaceID, is very useful for identifying rare cell types in normal and diseased tissue. The research is published, ahead of print, on the website of Nature the 19th of August.[/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]
For a good understanding of the development and function of an organ, it is essential to understand all characteristics of its cell types. To distinguish between different cell types, the gene expression levels of cells are measured. With the emergence of advanced single cell mRNA sequencing thousands of gene expression levels in an individual cell can be measured. This way a fingerprint of cell can be made, called a transcriptome, which reveals the identity of a cell.
However, the expression of a gene in a given cell type can be highly variable and the experimental procedure to sequence the transcriptome of a cell introduces additional variability. This makes it very challenging to identify cell types, in particular rare cell types that occur at very low frequency within an organ. Identifying rare cell types is crucial to acquire a better understanding of normal or diseased tissue biology, because they can carry out important functions in an organ. Stem cells, for example, which give rise to all other cell types of an organ are typically rare and characterizing these cells could be the basis for regenerative medicine.
RaceID
The scientists of the Hubrecht Institute, led by Alexander van Oudenaarden, Professor of Quantitative biology of gene regulation and director if the Hubrecht Institute, developed an algorithm for rare cell type identification in complex populations of single cells. This algorithm, called RaceID, was used to analyse cultured mini-intestines (organoids). In these organoids the scientists discovered a new subpopulation of hormone producing intestinal cells. These so called enteroendocrine cells are important for gut homeostasis and are therefore crucial for the digestive function of the intestine.
a, Intestinal crypts were isolated from mice and grown into intestinal organoids as described previously. Organoids were dissociated and single cells, collected by fluorescence-activated cell sorting (FACS), were sequenced by a modified version of the CEL-seq method. b, Heat map indicating similarities between 238 single cells measured by Euclidean distances of the transcriptome correlation matrix (unitless; see Methods). k-means clustering identified six major groups of cells colour coded along the axes. c, t-SNE map representation of transcriptome similarities between individual cells. Clusters identified in b were highlighted with different colours and corresponding intestinal cell types identified on the basis of known marker genes are indicated.
In the future RaceID can be used to discover rare cell types and their marker genes. Knowing the full repertoire of cell types in various systems such as developing embryos or adult organs will lead to a better understanding of these systems and can provide basis for disease therapies.
Life Sciences
This study is closely related to Utrecht University’s strategic research theme Life Sciences, under the sub-theme of Regenerative Medicine & Stem Cells, which focuses on repairing and replacing tissue.
Source – Utrecht University
[box type=”shadow” align=”alignleft” ]Grün D, Lyubimova A, Kester L, Wiebrands K, Basak O, Sasaki N, Clevers H, van Oudenaarden A. (2105)
Single-cell messenger RNA sequencing reveals rare intestinal cell types.
Nature [Epub ahead of print]. [
abstract][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]
For a good understanding of the development and function of an organ, it is essential to understand all characteristics of its cell types. To distinguish between different cell types, the gene expression levels of cells are measured. With the emergence of advanced single cell mRNA sequencing thousands of gene expression levels in an individual cell can be measured. This way a fingerprint of cell can be made, called a transcriptome, which reveals the identity of a cell.
However, the expression of a gene in a given cell type can be highly variable and the experimental procedure to sequence the transcriptome of a cell introduces additional variability. This makes it very challenging to identify cell types, in particular rare cell types that occur at very low frequency within an organ. Identifying rare cell types is crucial to acquire a better understanding of normal or diseased tissue biology, because they can carry out important functions in an organ. Stem cells, for example, which give rise to all other cell types of an organ are typically rare and characterizing these cells could be the basis for regenerative medicine.
RaceID
The scientists of the Hubrecht Institute, led by Alexander van Oudenaarden, Professor of Quantitative biology of gene regulation and director if the Hubrecht Institute, developed an algorithm for rare cell type identification in complex populations of single cells. This algorithm, called RaceID, was used to analyse cultured mini-intestines (organoids). In these organoids the scientists discovered a new subpopulation of hormone producing intestinal cells. These so called enteroendocrine cells are important for gut homeostasis and are therefore crucial for the digestive function of the intestine.
In the future RaceID can be used to discover rare cell types and their marker genes. Knowing the full repertoire of cell types in various systems such as developing embryos or adult organs will lead to a better understanding of these systems and can provide basis for disease therapies.
Life Sciences
This study is closely related to Utrecht University’s strategic research theme Life Sciences, under the sub-theme of Regenerative Medicine & Stem Cells, which focuses on repairing and replacing tissue.
Source – Utrecht University
[box type=”shadow” align=”alignleft” ]Grün D, Lyubimova A, Kester L, Wiebrands K, Basak O, Sasaki N, Clevers H, van Oudenaarden A. (2105) Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature [Epub ahead of print]. [abstract][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]Related Posts
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For a good understanding of the development and function of an organ, it is essential to understand all characteristics of its cell types. To distinguish between different cell types, the gene expression levels of cells are measured. With the emergence of advanced single cell mRNA sequencing thousands of gene expression levels in an individual cell can be measured. This way a fingerprint of cell can be made, called a transcriptome, which reveals the identity of a cell.
However, the expression of a gene in a given cell type can be highly variable and the experimental procedure to sequence the transcriptome of a cell introduces additional variability. This makes it very challenging to identify cell types, in particular rare cell types that occur at very low frequency within an organ. Identifying rare cell types is crucial to acquire a better understanding of normal or diseased tissue biology, because they can carry out important functions in an organ. Stem cells, for example, which give rise to all other cell types of an organ are typically rare and characterizing these cells could be the basis for regenerative medicine.
RaceID
The scientists of the Hubrecht Institute, led by Alexander van Oudenaarden, Professor of Quantitative biology of gene regulation and director if the Hubrecht Institute, developed an algorithm for rare cell type identification in complex populations of single cells. This algorithm, called RaceID, was used to analyse cultured mini-intestines (organoids). In these organoids the scientists discovered a new subpopulation of hormone producing intestinal cells. These so called enteroendocrine cells are important for gut homeostasis and are therefore crucial for the digestive function of the intestine.
In the future RaceID can be used to discover rare cell types and their marker genes. Knowing the full repertoire of cell types in various systems such as developing embryos or adult organs will lead to a better understanding of these systems and can provide basis for disease therapies.
Life Sciences
This study is closely related to Utrecht University’s strategic research theme Life Sciences, under the sub-theme of Regenerative Medicine & Stem Cells, which focuses on repairing and replacing tissue.
Source – Utrecht University
[box type=”shadow” align=”alignleft” ]Grün D, Lyubimova A, Kester L, Wiebrands K, Basak O, Sasaki N, Clevers H, van Oudenaarden A. (2105) Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature [Epub ahead of print]. [abstract][/fusion_text][/fusion_builder_column_inner][/fusion_builder_row_inner][/fusion_builder_column]Related Posts
Avoiding a sticky situation: how cells stop messenger RNAs from clumping together
New AI approaches to help understand complex biological data
Short-read RNA-seq yields lower estimates of A-to-I RNA editing levels than long-read cDNA sequencing
Single Cell Discoveries Acquires TATAA Biocenter to Create an End-to-End Precision Biology CRO
qMAP reveals RNA fragmentation patterns linked to development and disease
Urine microRNAs may help distinguish bacterial from viral infections in children
Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Eclipsebio expands its RNA characterization capabilities with multi-attribute nanopore-based sequencing assay eSTRAND RNA QC™
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
Creative Biolabs expands advanced single-cell multi-omics and RNA sequencing solutions to support biomedical discovery
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
HeartBeat.bio and Cubase Bio Partner to Advance 3D Spatial Transcriptomics for Cardiovascular Drug Discovery
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
New Johns Hopkins Study Identifies Pervasive RT-qPCR Artifact in CRISPR Knockdown Studies and How UltraMarathonRT® Solves It
Atlas of the brain’s striatum could guide researchers to new drug treatments
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