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

Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma

29 Apr 2016

Abstract excerpt

BACKGROUND: Intratumoral heterogeneity hampers the success of marker-based anticancer treatment because the targeted therapy may eliminate a specific subpopulation of tumor cells while leaving others unharmed. Accordingly, a rational strategy minimizing survival of the drug-resistant subpopulation is essential to achieve long-term therapeutic efficacy. RESULTS: Using single-cell RNA sequencing (RNA-seq), we...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Genomics and Diagnostics
Share to Renal cell carcinoma treatment
Share to Single-cell and spatial transcriptomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 27139883
DOI: 10.1186/s13059-016-0945-9

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinomaPMID 27139883Read ↗

Application of single-cell and spatial omics in deciphering cellular hallmarks of cancer drug response and resistanceSemantic proximity Read ↗

Advances in single-cell RNA sequencing and its applications in cancer researchSemantic proximity Read ↗

Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells.Semantic proximity Read ↗

Recent advances and current issues in single-cell sequencing of tumors.Semantic proximity Read ↗

Research progress and the prospect of using single-cell sequencing technology to explore the characteristics of the tumor microenvironmentSemantic proximity Read ↗

Single‐cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasisSemantic proximity Read ↗

Advances in single-cell RNA sequencing and its applications in cancer research.Semantic proximity Read ↗

Tumor Functional Heterogeneity Unraveled by scRNA-seq TechnologiesSemantic proximity Read ↗

Single‐cell analysis reveals metastatic cell heterogeneity in clear cell renal cell carcinomaSemantic proximity Read ↗

High-throughput single-сell sequencing in cancer researchSemantic proximity Read ↗

Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomicsSemantic proximity Read ↗

Single-cell transcriptome analysis demonstrates inter-patient and intra-tumor heterogeneity in primary and metastatic lung adenocarcinomaSemantic proximity Read ↗

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