ReviewThe Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry2016
Building an RNA Sequencing Transcriptome of the Central Nervous System.
Review in The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 24 citations in OpenAlex.
- Single-Cell Sequencing Technology and Its Application in the Study of Central Nervous System Diseases.Cell biochemistry and biophysics · 2024Review
- Coding and long non-coding gene expression changes in the CNS traumatic injuries.Cellular and molecular life sciences : CMLS · 2022Review
- Changes in inflammatory gene expression in brain tissue adjacent and distant to a viable cyst in a rat model for neurocysticercosis.PLoS neglected tropical diseases · 2021Article
- Trihydroxyethyl Rutin Provides Neuroprotection in Rats With Cervical Spinal Cord Hemi-Contusion.Frontiers in neuroscience · 2021Article
- Personalized Medicine Using Cutting Edge Technologies for Genetic Epilepsies.Current neuropharmacology · 2021Review
- A Comparative Biology of Microglia Across Species.Frontiers in cell and developmental biology · 2021Review
- Doublecortin-expressing cell types in temporal lobe epilepsy.Acta neuropathologica communications · 2018Article
- Laser capture microdissection for transcriptomic profiles in human skin biopsies.BMC molecular biology · 2018Article
- Role for Wnt Signaling in Retinal Neuropil Development: Analysis via RNA-Seq and In Vivo Somatic CRISPR Mutagenesis.Neuron · 2018Article
- Single-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time.Trends in molecular medicine · 2017Review
- The Transcriptome of Type I Murine Astrocytes under Interferon-Gamma Exposure and Remyelination Stimulus.Molecules (Basel, Switzerland) · 2017Article
- The systematic analysis of coding and long non-coding RNAs in the sub-chronic and chronic stages of spinal cord injury.Scientific reports · 2017Article
- Protein characterization of intracellular target-sorted, formalin-fixed cell subpopulations.Scientific reports · 2016Article
- Proteomics Research in Schizophrenia.Frontiers in cellular neuroscience · 2016Review
- Commentary on: "Effect of sevoflurane anesthesia on the comprehensive mRNA expression profile of the mouse hippocampus":Medical gas researchArticle
- Article
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
The composition and function of the central nervous system (CNS) is extremely complex. In addition to hundreds of subtypes of neurons, other cell types, including glia (astrocytes, oligodendrocytes, and microglia) and vascular cells (endothelial cells and pericytes) also play important roles in CNS function. Such heterogeneity makes the study of gene transcription in CNS challenging. Transcriptomic studies, namely the analyses of the expression levels and structures of all genes, are essential for interpreting the functional elements and understanding the molecular constituents of the CNS. Microarray has been a predominant method for large-scale gene expression profiling in the past. However, RNA-sequencing (RNA-Seq) technology developed in recent years has many advantages over microarrays, and has enabled building more quantitative, accurate, and comprehensive transcriptomes of the CNS and other systems. The discovery of novel genes, diverse alternative splicing events, and noncoding RNAs has remarkably expanded the complexity of gene expression profiles and will help us to understand intricate neural circuits. Here, we discuss the procedures and advantages of RNA-Seq technology in mammalian CNS transcriptome construction, and review the approaches of sample collection as well as recent progress in building RNA-Seq-based transcriptomes from tissue samples and specific cell types.
Indexed as
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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.