ReviewBrain research2010
Deep sequencing of coding and non-coding RNA in the CNS.
Review in Brain research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Platelets-Derived miR-200a-3p Modulate the Expression of ET-1 and VEGFA in Endothelial Cells by Targeting MAPK14.Frontiers in physiology · 2022Article
- Interplay of chromatin modifications and non-coding RNAs in the heart.Epigenetics · 2014Review
- Female-specific induction of rat pituitary dentin matrix protein-1 by GnRH.Molecular endocrinology (Baltimore, Md.) · 2013Article
- Age-related changes of gene expression in the neocortex: preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas.Development and psychopathology · 2012Article
- Gene expression in the Parkinson's disease brain.Brain research bulletin · 2012Review
- Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics.Child developmentReview
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.
Funding
Abstract
Several methods now exist for identifying and quantifying many biological events in parallel and in a relatively unbiased fashion. For gene expression experiments, cloning approaches have been supplemented with microarray platforms over the past few years. The focus of this review is on deep sequencing, a new set of techniques that can be used to both identify RNA species and quantify them in a massively parallel fashion. Deep sequencing has some advantages over other methods, driven largely by the high depth of coverage for any library of nucleic acids. This allows, for example, estimates of alternative splicing and untranslated region utilization. We will discuss how deep sequencing methods are being applied to characterization of gene expression in the brain and how these technologies might develop over the next few years.
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.