Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integrating readout of somatic mutations in individual cells with single-cell transcriptional profiling.

STAR protocols - 17 Sept 2021

Liu Shichen, Nguyen Maximilian, Hormoz Sahand

Abstract excerpt

In many biological applications, the readout of somatic mutations in individual cells is essential. For example, it can be used to mark individual cancer cells or identify progenies of a stem cell. Here, we present a protocol to perform single-cell RNA-seq and single-cell amplicon-seq using 10X Chromium technology. Our protocol demonstrates how to (1) isolate CD34+ progenitor cells from human bone marrow...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antigens, CD34
Share to Bone Marrow Cells
Share to DNA Primers

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Library

Share to Mutation

Share to Sequence Analysis, RNA

Share to Single-Cell Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 34337442
DOI: 10.1016/j.xpro.2021.100673
PMCID: PMC8313752

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

Integrating readout of somatic mutations in individual cells with single-cell transcriptional profiling.PMID 34337442Read ↗

Single cell whole genome and transcriptome sequencing links somatic mutations to cell identity and ancestrySemantic proximity Read ↗

Adaptive nanopore sequencing for single cell characterization of cancer mutations and gene rearrangementsSemantic proximity Read ↗

Direct measurement of engineered cancer mutations and their transcriptional phenotypes in single cells.Semantic proximity Read ↗

Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNASemantic proximity Read ↗

Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNASemantic proximity Read ↗

Bisulfite-free epigenomics and genomics of single cells through methylation-sensitive restriction.Semantic proximity Read ↗

CRISPR-based large-scale modeling of loss-of-function mutations to investigate mechanisms of stress resistance in cancer.Semantic proximity Read ↗

CloneSifter: enrichment of rare clones from heterogeneous cell populationsSemantic proximity Read ↗

DNA methylation protocol for analyzing cell-free DNA in the spent culture medium of human preimplantation embryosSemantic proximity Read ↗

Simultaneous multiplexed amplicon sequencing and transcriptome profiling in single cellsSemantic proximity Read ↗

SCELLECTOR: ranking amplification bias in single cells using shallow sequencing.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.