ArticleScientific reports2018
Combinatory use of distinct single-cell RNA-seq analytical platforms reveals the heterogeneous transcriptome response.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 22 citations in OpenAlex.
- Single-Cell RNA Sequencing in Unraveling Acquired Resistance to EGFR-TKIs in Non-Small Cell Lung Cancer: New Perspectives.International journal of molecular sciences · 2025Review
- Spatial omics technologies for understanding molecular status associated with cancer progression.Cancer science · 2024Review
- LncRNA MAFG-AS1 is involved in human cancer progression.European journal of medical research · 2023Review
- STRA8-RB interaction is required for timely entry of meiosis in mouse female germ cells.Nature communications · 2023Article
- Characterization of gene cluster heterogeneity in single-cell transcriptomic data within and across cancer types.Biology open · 2022Article
- Codependency and mutual exclusivity for gene community detection from sparse single-cell transcriptome data.Nucleic acids research · 2021Article
- Single-Cell Analyses Reveal Diverse Mechanisms of Resistance to EGFR Tyrosine Kinase Inhibitors in Lung Cancer.Cancer research · 2021Article
- NANOS2 suppresses the cell cycle by repressing mTORC1 activators in embryonic male germ cells.iScience · 2021Article
- HLA-DR cancer cells expression correlates with T cell infiltration and is enriched in lung adenocarcinoma with indolent behavior.Scientific reports · 2021Article
- Signaling Heterogeneity is Defined by Pathway Architecture and Intercellular Variability in Protein Expression.iScience · 2021Article
- Single-cell sequencing techniques from individual to multiomics analyses.Experimental & molecular medicine · 2020Review
- DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data.Cell reports · 2019Article
- SMARTer single cell total RNA sequencing.Nucleic acids research · 2019Article
- A Review on T Cell Epitopes Identified Using Prediction and Cell-Mediated Immune Models forFrontiers in immunology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell RNA-seq is a powerful tool for revealing heterogeneity in cancer cells. However, each of the current single-cell RNA-seq platforms has inherent advantages and disadvantages. Here, we show that combining the different single-cell RNA-seq platforms can be an effective approach to obtaining complete information about expression differences and a sufficient cellular population to understand transcriptional heterogeneity in cancers. We demonstrate that it is possible to estimate missing expression information. We further demonstrate that even in the cases where precise information for an individual gene cannot be inferred, the activity of given transcriptional modules can be analyzed. Interestingly, we found that two distinct transcriptional modules, one associated with the Aurora kinase gene and the other with the DUSP gene, are aberrantly regulated in a minor population of cells and may thus contribute to the possible emergence of dormancy or eventual drug resistance within the population.
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.