ReviewOncotarget2017
Advances in single-cell RNA sequencing and its applications in cancer research.
Review in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 107 citations in OpenAlex.
- Artificial intelligence approaches for tumor phenotype stratification from single-cell transcriptomic data.eLife · 2025Article
- Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025Article
- Advances in Microfluidic Single-Cell RNA Sequencing and Spatial Transcriptomics.Micromachines · 2025Review
- Dysregulation of GAS5-miRNA-Mediated Signaling Pathways in Cancer Pathobiology: A Comprehensive Exploration of Pathways Influenced by this Axis.Biochemical genetics · 2025Review
- Adhesion strength of tumor cells predicts metastatic disease in vivo.Cell reports · 2025Article
- BMDB: An integrated database and web platform for single-cell transcriptomic profiling of bone marrow microenvironment.Computational and structural biotechnology journal · 2025Article
- Single-cell transcriptome conservation in a multispecies comparative analysis of fresh and cryopreserved insulinoma cell lines.Veterinary oncology (London, England) · 2025Article
- PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors.Nature cancer · 2024Article
- Single-cell RNA sequencing reveals cellular and molecular landscape of fetal cystic hygroma.BMC medical genomics · 2024Article
- Immunoblot Analysis from Single Cells Using Milo™ Single-Cell Western Platform.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Article
- Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data.Briefings in bioinformatics · 2023Article
- Immune cell type signature discovery and random forest classification for analysis of single cell gene expression datasets.Frontiers in immunology · 2023Article
- scAmpi-A versatile pipeline for single-cell RNA-seq analysis from basics to clinics.PLoS computational biology · 2022Article
- scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods.Nucleic acids research · 2022Article
- Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues.International journal of molecular sciences · 2022Review
- Prospects and challenges of cancer systems medicine: from genes to disease networks.Briefings in bioinformatics · 2022Review
- Racial differences in prostate tumor microenvironment: implications for disparate clinical outcomes and potential opportunities.Cancer health disparities · 2022Article
- An analysis of research biopsy core variability from over 5000 prospectively collected core samples.NPJ precision oncology · 2021Article
- Precision treatment exploration of breast cancer based on heterogeneity analysis of lncRNAs at the single-cell level.BMC cancer · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic analysis of an individual cell. Through the combination of high-throughput sequencing and bioinformatic tools, single-cell RNA-seq can detect more than 10,000 transcripts in one cell to distinguish cell subsets and dynamic cellular changes. After several years' development, single-cell RNA-seq can now achieve massively parallel, full-length mRNA sequencing as well as PERSPECTIVES:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.