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v0.1.1 Added readme and documentation
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AgingMouseBrainCCInx.Rproj

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BuildType: Package
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PackageUseDevtools: Yes
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PackageInstallArgs: --no-multiarch --with-keep.source
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PackageRoxygenize: rd,collate,namespace,vignette

DESCRIPTION

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Package: AgingMouseBrainCCInx
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Type: Package
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Title: Cell-cell interaction prediction from single-cell transcriptomic profiling of the aging mouse brain
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Version: 0.1.0
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Version: 0.1.1
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Author: Methodios Ximerakis,
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Scott L. Lipnick,
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Brendan T. Innes,
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Lee L. Rubin
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Maintainer: Brendan T. Innes <brendan.innes@mail.utoronto.ca>
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Description: Data package for the cell-cell interaction predictions from the
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paper "single-cell transcriptomic profiling of the aging mouse brain". The
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paper "Single-cell transcriptomic profiling of the aging mouse brain". The
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package contains an RData list object with both the edge list and node
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metadata of predicted cell-cell interactions between cell types in the mouse
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brain, and their changes with aging. The predictions were generated using
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LazyData: true
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Depends: CCInx (>= 0.3.0)
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Remotes: Baderlab/CCInx
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RoxygenNote: 6.1.1

NAMESPACE

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exportPattern("^[[:alpha:]]+")
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# Generated by roxygen2: do not edit by hand
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export(ViewAgingMouseBrainCCInx)

R/ViewAgingMouseBrainCCInx.R

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#' @export
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ViewAgingMouseBrainCCInx <- function() {
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if (exists("OxYxCCInx")) {
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ViewCCInx(OxYxCCInx)
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} else {
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load(system.file("data/OX_YX_CCInx_forPub.RData",package="AgingMouseBrainCCInx"))
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ViewCCInx(OxYxCCInx)
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}
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temp <- load(system.file("data/OX_YX_CCInx_forPub.RData",
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package="AgingMouseBrainCCInx"))
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CCInx::ViewCCInx(get(temp))
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}

README.md

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# AgingMouseBrainCCInx
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# Single-cell transcriptomic profiling of the aging mouse brain
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Methodios Ximerakis, Scott L. Lipnick, Brendan T. Innes, Sean K. Simmons, Xian
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Adiconis, Danielle Dionne, Brittany A. Mayweather, Lan Nguyen, Zachary Niziolek,
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Ceren Ozek, Vincent L. Butty, Ruth Isserlin, Sean M. Buchanan, Stuart S. Levine,
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Aviv Regev, Gary D. Bader, Joshua Z. Levin, and Lee L. Rubin.
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## Abstract
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The mammalian brain is complex, with multiple cell types performing a variety of diverse
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functions, but exactly how the brain is affected with aging remains largely unknown. Here
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we performed a single-cell transcriptomic analysis of young and old mouse brains. We
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provide a comprehensive dataset of aging-related genes, pathways and ligand-receptor
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interactions in nearly all brain cell types. Our analysis identified gene signatures that vary
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in a coordinated manner across cell types and gene sets that are regulated in a cell type
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specific manner, even at times in opposite directions. Thus, our data reveal that aging,
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rather than inducing a universal program, drives a distinct transcriptional course in each
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cell population. These data provide an important resource for the aging community and
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highlight key molecular processes, including ribosome biogenesis, underlying aging. We
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believe that this large-scale dataset, which is publicly accessible online ([aging-mouse-brain](https://portals.broadinstitute.org/single_cell/study/aging-mouse-brain)),
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will facilitate additional discoveries directed towards understanding and modifying
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the aging process.
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## Usage
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This is an R package used to explore the cell-cell interaction predictions from the
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paper "Single-cell transcriptomic profiling of the aging mouse brain". The
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package contains an RData list object with both the edge list and node
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paper. The package contains an RData list object with both the edge list and node
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metadata of predicted cell-cell interactions between cell types in the mouse
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brain, and their changes with aging. The predictions were generated using
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CCInx (baderlab.github.io/CCInx). You can install this package in R by running:

man/ViewAgingMouseBrainCCInx.Rd

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