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Related Experiment Video

Updated: Jul 4, 2025

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

cellMarkerPipe: Cell Marker Identification and Evaluation Pipeline in Single Cell Transcriptomes.

Qiuming Yao¹, Yinglu Jia², Pengchong Ma¹

¹University of Nebraska-Lincoln.

Research Square

|February 5, 2024

Summary

This summary is machine-generated.

Identifying cell-type specific marker genes from single-cell RNA sequencing (scRNA-seq) data is streamlined by cellMarkerPipe. This platform automates gene identification and benchmarking, enhancing efficiency and reliability for cellular biology and medical research.

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Related Experiment Videos

Last Updated: Jul 4, 2025

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

Area of Science:

Computational biology
Genomics
Bioinformatics

Background:

Identifying cell-type specific marker genes is crucial for understanding cellular heterogeneity in scRNA-seq data.
Current methods for marker gene identification are often time-consuming and lack systematic evaluation strategies.

Conclusions:

cellMarkerPipe significantly enhances the efficiency and fairness of cell marker gene identification and evaluation.
The pipeline offers a general and open-source solution applicable to broad fields in cellular biology and medical research.
This advancement facilitates more robust analysis of scRNA-seq data for biological discovery.