ArticleCell2017
A Mechanogenetic Toolkit for Interrogating Cell Signaling in Space and Time.
Article in Cell, 2017. 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.
- Precise Regulation of Membrane Proteins: From Physical Technology to Biomolecular Strategy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- A Physical Framework to Study the Effect of Magnetic Fields on the Spike-Time Coding.Biomedical engineering and computational biology · 2024Article
- Modulating mechanical stability of heterodimerization between engineered orthogonal helical domains.Nature communications · 2020Article
- Influence of the Assembly State on the Functionality of a Supramolecular Jagged1-Mimicking Peptide Additive.ACS omega · 2019Article
- Article
Corrections and comments
- Erratum for
Authors and funding
12 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
28622515What 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.