ReviewStem cell reviews and reports2012
Deeply dissecting stemness: making sense to non-coding RNAs in stem cells.
Review in Stem cell reviews and reports, 2012. 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, 15 citations in OpenAlex.
- Clinical value of non-coding RNAs in cardiovascular, pulmonary, and muscle diseases.American journal of physiology. Cell physiology · 2020Review
- A novel long non-coding RNA Myolinc regulates myogenesis through TDP-43 and Filip1.Journal of molecular cell biology · 2018Article
- High-Throughput Methods to Detect Long Non-Coding RNAs.High-throughput · 2017Article
- ANGIOGENES: knowledge database for protein-coding and noncoding RNA genes in endothelial cells.Scientific reports · 2016Article
- Transcriptomics and proteomics in stem cell research.Frontiers of medicine · 2014Review
- Transcriptome-wide profiling and posttranscriptional analysis of hematopoietic stem/progenitor cell differentiation toward myeloid commitment.Stem cell reports · 2014Article
- Long-term effects of chromatin remodeling and DNA damage in stem cells induced by environmental and dietary agents.Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adult stem cells are an important source for the regeneration of damaged body parts. Unlike fish and amphibians, the regeneration capacity of human tissues is rather limited. Therefore, one might ask for reasons that led to the loss of regenerative capacity during evolution. Although intensive efforts have been made, we still cannot answer this question definitively. Recent advances in so-called "-omics" (e.g. transcriptomics, proteomics) technologies allowed researchers to obtain detailed views of both mRNA and protein expression levels at different time points during regeneration and tissue repair. It is now possible to make a series of snap shots to characterize stem cell activities at various stages. Recent findings have revealed an enormous plasticity of different cell types reaffirming the landscape model of cell differentiation. Apparently, differentiation of stem cells into a certain lineage is not a fixed process but rather a delicate balance, in which different signaling pathways are involved. To understand this balance, it is utmost importance to profile and catalog changes that occur during the differentiation process of stem cells both at mRNA and protein levels. In this review, we survey the impact of expression profiling on stem cell research with a particular emphasis on non-coding RNAs.
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.