ArticleMolecular cell2018
The Quest for Stability during Times of Change.
Article in Molecular cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental tools that are designed to perturb biological functions are often used to understand how cells change over time. However, in two recent papers, Segall-Shapiro et al. (2018; in Nature Biotechnology) and Rullan et al. (2018; in this issue of Molecular Cell) present tools engineered to keep cells the same. Both tools achieve perfect adaptation, that is, the ability to hold a value, in this case gene expression, constant over time despite disruptions and disturbances. Together, these papers highlight how influential dynamics can be when shaping biological functions, even when the goal is to stay constant.
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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.