ArticleMolecular cell2019
TARGET-seq Takes Aim at Cancer Evolution through Multi-omics Single-Cell Genotyping and Transcriptomics.
Article in Molecular cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Molecular principles underlying aggressive cancers.Signal transduction and targeted therapy · 2025Review
- Single-Cell Sequencing: High-Resolution Analysis of Cellular Heterogeneity in Autoimmune Diseases.Clinical reviews in allergy & immunology · 2024Review
- Review
- Advances in application of single-cell RNA sequencing in cardiovascular research.Frontiers in cardiovascular medicine · 2022Review
- The Application of Single-Cell Technologies in Cardiovascular Research.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
Abstract
In this issue of Molecular Cell, Rodriguez-Meira et al. (2019) present TARGET-seq, an elegant single-cell method that genotypes somatic mutations and captures whole transcriptomes in the same tumor cells, thus paving the way to directly link somatic mutations with resulting transcriptional phenotypes in clonally diverse cancer populations.
Indexed as
Identifiers
30901562What 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.