ArticleBioinformatics and biology insights2015
Cross-species Transcriptomic Comparison of In Vitro and In Vivo Mammalian Neural Cells.
Article in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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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.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Novel human iPSC models of neuroinflammation in neurodegenerative disease and regenerative medicine.Trends in immunology · 2024Review
- Posttranscriptional regulation of the T-box gene midline via the 3'UTR in Drosophila is complex and cell- and tissue-dependent.Genetics · 2024Article
- CD44 correlates with longevity and enhances basal ATF6 activity and ER stress resistance.Cell reports · 2023Article
- Microarray profiling emphasizes transcriptomic differences between hippocampalBrain communications · 2021Article
- Visualizing the Potential Impairment of Polymyxin B to Central Nervous System Through MR Susceptibility-Weighted Imaging.Frontiers in pharmacology · 2021Article
- Insights into Computational Drug Repurposing for Neurodegenerative Disease.Trends in pharmacological sciences · 2019Review
- BACE2 distribution in major brain cell types and identification of novel substrates.Life science alliance · 2018Article
- Hyponatremia and the Brain.Kidney international reports · 2018Review
- Transcriptome Analysis of the Spodoptera frugiperda AscovirusJournal of virology · 2017Article
- Single-cell transcriptomics of the human placenta: inferring the cell communication network of the maternal-fetal interface.Genome research · 2017Article
- Cell type-specific transcriptome profiling in mammalian brains.Frontiers in bioscience (Landmark edition) · 2016Review
- A Computational Pipeline for Cross-Species Analysis of RNA-seq Data Using R and Bioconductor.Bioinformatics and biology insights · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The mammalian brain is characterized by distinct classes of cells that differ in morphology, structure, signaling, and function. Dysregulation of gene expression in these cell populations leads to various neurological disorders. Neural cells often need to be acutely purified from animal brains for research, which requires complicated procedure and specific expertise. Primary culture of these cells in vitro is a viable alternative, but the differences in gene expression of cells grown in vitro and in vivo remain unclear. Here, we cultured three major neural cell classes of rat brain (ie, neurons, astrocytes, and oligodendrocyte precursor cells [OPCs]) obtained from commercial sources. We measured transcript abundance of these cell types by RNA sequencing (RNA-seq) and compared with their counterparts acutely purified from mouse brains. Cross-species RNA-seq data analysis revealed hundreds of genes that are differentially expressed between the cultured and acutely purified cells. Astrocytes have more such genes compared to neurons and OPCs, indicating that signaling pathways are greatly perturbed in cultured astrocytes. This dataset provides a powerful resource to demonstrate the similarities and differences of biological processes in mammalian neural cells grown in vitro and in vivo at the molecular level.
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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.