应用1: 输入基因名可查询该基因在不同细胞类型的表达情况,例如输入TPPP,点击Search得到结果与Cell文章一致: 众所周知,Iba1是小胶质细胞的特异性标志物,在GeneCards(https://www.genecards.org/)输入Iba1 可知其基因名为Aif1。 在Brain RNA-Seq数据库查询Aif1,发现Aif1特异性的在小胶质细胞高表达,这也是Iba1作...
Single nucleus RNA-Seq (sNuc-Seq) profiles RNA from tissues that are preserved or cannot be dissociated, but does not provide the throughput required to analyse many cells from complex tissues. Here, we develop DroNc-Seq, massively parallel sNuc-Seq with droplet technology. We profile 29,543 ...
In order to better understand the relationship between normal and neoplastic brain, we combined five publicly available large-scale datasets, correcting for batch effects and applying Uniform Manifold Approximation and Projection (UMAP) to RNA-Seq data. We assembled a reference Brain-UMAP including 702...
This repository provides the analysis process of RNA-seq data from the blood-brain barrier (BBB) endothelial cells. The cells were isolated from the transwell and the microfluidic chip. Each experiment has three biological replicates.Step 1. Pre-process & align the RNA-seq data to the reference...
These signatures are, however, lost in traditional bulk RNA-seq experiments, potentially masking the identity of specific cell type(s) that may drive gene expression differences in disease. To address this challenge, the Allen Institute for Brain Science (AIBS) used our SMART-...
seqbrainrnamouseprofiling多糖 InternationalJournalof MolecularSciences Article BrainRNA-SeqProfilingoftheMucopolysaccharidosis TypeIIMouseModel MarikaSalvalaio 1,2 ,FrancescaD’Avanzo 1,2, *,LauraRigon 1,2 ,AlessandraZanetti 1,2 , MichelaD’Angelo 3 ,GiorgioValle 3 ,MaurizioScarpa 1,2,4 andRosella...
An R package that allows the user to estimate the relative cell type balance in brain cortical samples using microarray or RNAseq data as presented in the manuscript "INFERENCE OF CELL-TYPE COMPOSITION FROM HUMAN BRAIN TRANSCRIPTOMIC DATASETS ILLUMINATES
To build an atlas of cell populations and cell-type-specific gene expression patterns across the adult (P60-70) mouse brain, we prepared single-cell suspensions (STAR Methods) from nine brain regions (Table S1 and Data S1) and used Drop-seq (Macosko et al., 2015) to profile the RNA exp...
RNA-seq and network analysis suggested that microglia responded to prion infection through activation of integrin CD11c/18 and did not adopt the expression signature associated with other neurodegenerative disease models. Instead, microglia acquired an alternative molecular signature late in the disease proc...
et al. Molecular mechanisms of D-cycloserine in facilitating fear extinction: insights from RNAseq. Metab Brain Dis 31, 135–156 (2016). https://doi.org/10.1007/s11011-015-9727-4 Download citation Received14 May 2015 Accepted02 September 2015 Published23 September 2015 Issue DateFebruary 2016 ...