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

Liquid Biopsy Based Single‐Cell Transcriptome Profiling Characterizes Heterogeneity of Disseminated Tumor Cells from Lung Adenocarcinoma

21 Jan 2020

Abstract excerpt

The advent of rapid and inexpensive sequencing technology allows scientists to decipher intra-tumor heterogeneity spatially and temporally for resolving the evolutionary history of tumor and the underlying mechanism. However, studies on characterizing heterogeneity of disseminated tumor cells (DTCs) in liquid biopsies are rare because of the rarity and low viability of DTCs as well as a large number of non-tumor...

Read the complete abstract on PubMed

Topics

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

Share to Cancer Cells and Metastasis
Share to Cancer Genomics and Diagnostics
Share to Pancreatic and Hepatic Oncology Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31960581
DOI: 10.1002/pmic.201900224

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

Liquid Biopsy Based Single‐Cell Transcriptome Profiling Characterizes Heterogeneity of Disseminated Tumor Cells from Lung AdenocarcinomaPMID 31960581Read ↗

Landscape and dynamics of single tumor and immune cells in early and advanced‐stage lung adenocarcinomaSemantic proximity Read ↗

Multi-omic profiling of pleural effusions: a reservoir-incubator for non-invasive insights into tumor heterogeneitySemantic proximity Read ↗

Single‐cell RNA sequencing analysis reveals transcriptional heterogeneity of multiple primary lung cancerSemantic proximity Read ↗

Single-cell profiling of tumor heterogeneity and the microenvironment in advanced non-small cell lung cancerSemantic proximity Read ↗

Single-cell RNA sequencing reveals heterogeneous tumor and immune cell populations in early-stage lung adenocarcinomas harboring EGFR mutations.Semantic proximity Read ↗

Single-cell analysis of diverse immune phenotypes in malignant pleural effusionSemantic proximity Read ↗

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

Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.Semantic proximity Read ↗

Circulating tumor cell characterization of lung cancer brain metastases in the cerebrospinal fluid through single‐cell transcriptome analysisSemantic proximity Read ↗

Circulating tumor cell characterization of lung cancer brain metastasis in the cerebrospinal fluid through single-cell transcriptome analysisSemantic proximity Read ↗

Decoding the multicellular ecosystem of lung adenocarcinoma manifested as pulmonary subsolid nodules by single-cell RNA sequencingSemantic proximity Read ↗

Dissecting transcriptional heterogeneity in multiple primary lung cancer by single cell RNA sequencingSemantic proximity Read ↗

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