ArticleCurrent pharmacology reports2016
Bioinformatic and Genomic Analyses of Cellular Reprogramming and Direct Lineage Conversion.
Article in Current pharmacology reports, 2016. 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, 2 citations in OpenAlex.
- Partial cellular reprogramming: A deep dive into an emerging rejuvenation technology.Aging cell · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Cellular reprogramming, whereby cell fate can be changed by the expression of a few defined factors, is a remarkable process that harnesses the innate ability of a cell's own genome to rework its expressional networks and function. Since cell lineages are defined by global regulation of gene expression, transcriptional regulators, and coupled to the epigenetic markings of the chromatin, changing the cell fate necessitates broad changes to these central cellular features. To properly characterize these changes, and the mechanisms that drive them, computational and genomic approaches are perfectly suited to provide a holistic picture of the reprogramming mechanisms. In particular, the use of bioinformatic analysis has been a major driver in the study of cellular reprogramming, both as it relates to induced pluripotency or direct lineage conversion. This review will summarize many of the bioinformatic studies that have advanced our knowledge of reprogramming and address future directions for these investigations.
Indexed as
Identifiers
What 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.