ArticleMolecular cell2016
Who Is in the Driver's Seat: Tracing Cancer Genes Using CRISPR-Barcoding.
Article in Molecular cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Engineering functional 3-dimensional patient-derived endocrine organoids for broad multiplatform applications.Surgery · 2023Article
- Cancer drug development: The missing links.Experimental biology and medicine (Maywood, N.J.) · 2019Review
- CRISPR therapeutic tools for complex genetic disorders and cancer (Review).International journal of oncology · 2018Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intratumor heterogeneity is thought to be the driving force of tumor evolution and therapy resistance. Yet tools to study these processes are limited. In this issue, Guernet et al. (2016) devised clustered regularly interspaced short palindromic repeats (CRISPR)-barcoding to functionally annotate specific mutations and study clonal evolution in heterogeneous cell populations.
Indexed as
Identifiers
27494556What 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.