ReviewCurrent genetics2018
Seq-ing answers: uncovering the unexpected in global gene regulation.
Review in Current genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Rules are made to be broken: a "simple" model organism reveals the complexity of gene regulation.Current genetics · 2021Review
- SUMO is a pervasive regulator of meiosis.eLife · 2021Article
- Monitoring Bacterial Translation Rates Genome-Wide.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Proteomic analysis of meiosis and characterization of novel short open reading frames in the fission yeastCell cycle (Georgetown, Tex.) · 2020Article
- Evidence for an Integrated Gene Repression Mechanism Based on mRNA Isoform Toggling in Human Cells.G3 (Bethesda, Md.) · 2019Article
- Melatonin Mitigates Mitochondrial Meltdown: Interactions with SIRT3.International journal of molecular sciences · 2018Review
- Global Proteome Remodeling during ER Stress Involves Hac1-Driven Expression of Long Undecoded Transcript Isoforms.Developmental cell · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The development of techniques for measuring gene expression globally has greatly expanded our understanding of gene regulatory mechanisms in depth and scale. We can now quantify every intermediate and transition in the canonical pathway of gene expression-from DNA to mRNA to protein-genome-wide. Employing such measurements in parallel can produce rich datasets, but extracting the most information requires careful experimental design and analysis. Here, we argue for the value of genome-wide studies that measure multiple outputs of gene expression over many timepoints during the course of a natural developmental process. We discuss our findings from a highly parallel gene expression dataset of meiotic differentiation, and those of others, to illustrate how leveraging these features can provide new and surprising insight into fundamental mechanisms of gene regulation.
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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.