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

Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapies

21 Jun 2016

Abstract excerpt

Current progenitor cell therapies have only modest efficacy, which has limited their clinical adoption. This may be the result of a cellular heterogeneity that decreases the number of functional progenitors delivered to diseased tissue, and prevents correction of underlying pathologic cell population disruptions. Here, we develop a high-resolution method of identifying phenotypically distinct progenitor cell...

Read the complete abstract on PubMed

Topics

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

Share to 3D Printing in Biomedical Research
Share to Mesenchymal stem cell research
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 27324848
DOI: 10.1038/ncomms11945

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Microfluidic single-cell transcriptional analysis rationally identifies novel surface marker profiles to enhance cell-based therapiesPMID 27324848Read ↗

Evaluating the Effect of Cell Culture on Gene Expression in Primary Tissue Samples Using Microfluidic-Based Single Cell Transcriptional AnalysisSemantic proximity Read ↗

A portable and cost-effective microfluidic system for massively parallel single-cell transcriptome profilingSemantic proximity Read ↗

Massively parallel digital transcriptional profiling of single cellsSemantic proximity Read ↗

Single‐Cell and Spatial Transcriptomics Decodes Wharton's Jelly‐Derived Mesenchymal Stem Cells Heterogeneity and a Subpopulation with Wound Repair SignaturesSemantic proximity Read ↗

Characterization of directed differentiation by high-throughput single-cell RNA-SeqSemantic proximity Read ↗

A live-cell platform to isolate phenotypically defined subpopulations for spatial multi-omic profiling.Semantic proximity Read ↗

Identification of rare progenitor cells from human periosteal tissue using droplet microfluidics.Semantic proximity Read ↗

Characterizing Fibroblast Heterogeneity in Diabetic Wounds Through Single-Cell RNA-SequencingSemantic proximity Read ↗

Single cell transcriptomics identifies adipose tissue CD271+ progenitors for enhanced angiogenesis in limb ischemiaSemantic proximity Read ↗

Combined analysis of single-cell sequencing and bulk transcriptome sequencing reveals new mechanisms for non-healing diabetic foot ulcersSemantic proximity Read ↗

Dean flow assisted single cell and bead encapsulation for high performance single cell expression profilingSemantic proximity Read ↗

Single cell transcriptomic landscape of diabetic foot ulcersSemantic proximity Read ↗

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