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GSE60528
Mus musculus
9 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
GM-CSF receptor- deficient (Csf2rb/ or KO) mice develop a lung disease identical to hereditary pulmonary alveolar proteinosis (hPAP) in humans with recessive CSF2RA or CSF2RB mutations that impair GM-CSF receptor function. We performed pulmonary macrophage transplantation (PMT) of bone marrow derived macrophages (BMDMs) without myeloablation in Csf2rb/mice. BMDMs were administered by endotracheal instillation into 2 month-old Csf2rb/ mice. Results demonstrated that PMT therapeutic of hPAP in Csf2rb/ mice was highly efficacious and durable. Alveolar macrophages were isolated by bronchoalveolar lavage one year after administration subjected to microarray analysis to determine the effects of PMT therapy on the global gene expression profile.
Publication Title
Pulmonary macrophage transplantation therapy.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 5 Downloadable Samples
Illumina HiSeq 2500
Description
Viral infection can dramatically alter a cell''s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in production of viral gene transcripts -- viral transcripts compose less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, and this gene absence partially explains variation in viral transcriptional load. Despite variation in total viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. Overall design: Dataset consists of a total of five single-cell datasets generated using the 10x Genomics Chromium Single Cell 3'' Solution platform. All samples were generated from a tissue culture infection model using A549 cells from ATCC and Influenza A/WSN/1933 virus. Uninfected control sample identically processed. Infected samples were generated from cells infected for 6, 8, and 10 hours with a single replicate at 8 hours.
Publication Title
Extreme heterogeneity of influenza virus infection in single cells.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 93 Downloadable Samples
- Illumina HiSeq 2500
Description
We report RNA sequencing of single olfactory neurons from mouse olfactory epithelium in developmental progression from progenitors to precursors to immature neurons to mature neurons. Most mature neurons expressed only one of ~ 1000 odorant receptor genes (Olfrs) at high levels, whereas many immature neurons expressed low levels of multiple Olfrs. Overall design: Investigating expression of odorant receptors genes in mouse olfactory sensory neurons during development.
Publication Title
Single-cell transcriptomics reveals receptor transformations during olfactory neurogenesis.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 384 Downloadable Samples
- IlluminaHiSeq2500, IlluminaHiSeq2000
Description
Single-cell expression profiling by RNA-Seq promises to exploit cell-to-cell variation in gene expression to reveal regulatory circuitry governing cell differentiation and other biological processes. Here, we describe Monocle, a novel unsupervised algorithm for ordering cells by progress through differentiation that dramatically increases temporal resolution of expression measurements. This reordering unmasks switch-like changes in expression of key regulatory factors, reveals sequentially organized waves of gene regulation, and exposes regulators of cell differentiation. A functional screen confirms that a number of these regulators dramatically alter the efficiency of myoblast differentiation, demonstrating that single-cell expression analysis with Monocle can uncover new regulators even in well-studied systems. Overall design: We selected primary human myoblasts as a model system of cell differentiation to investigate whether ordering cells by progress revealed new regulators of the process. We sequenced RNA-Seq libraries from each of several hundred cells taken over a time-course of serum-induced differentiation. Please note that this dataset is a single-cell RNA-Seq data set, and each cell comes from a capture plate. Thus, each well of the plate was scored and flagged with several QC criteria prior to library construction, which are provided as sample characteristics; CONTROL indicates that this library is a off-chip tube control library constructed from RNA of approximately 250 cells and ''DEBRIS'' indicates that the well contained visible debris (and may or may not include a cell). Libraries marked DEBRIS thus cannot be confirmed to come from a single cell.
Publication Title
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- NextSeq500
Description
Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from over 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas. Overall design: 3 replicates from GM12878 and HL-60 cell lines collected for differential gene expression analysis.
Publication Title
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 2 Downloadable Samples
- NextSeq 500
Description
This scRNA-seq experiment is an integral part of a manuscript with the above title. Our analysis of the scRNA-seq data suggests that activated CARD11 promotes immunoglobulin class-switching in germinal center B cells and generation of IgG1-secreting plasma cells. Overall design: Single-cell suspensions were prepared from spleens harvested from mice 5 days post immunization with sheep red blood cells. B cells were enriched using an immunomagnetic negative selection kit. scRNA-seq was performed using the Chromium product suite by 10x Genomics.
Publication Title
Activated CARD11 accelerates germinal center kinetics, promoting mTORC1 and terminal differentiation.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 23 Downloadable Samples
- Illumina HiSeq 2000
Description
Purpose:Next-generation sequencing has revolutionized sytems-level celluar pathway analysis. The goals of this study are to compare the U87 cell xenograft GBM mice (U87 cell line) to TWIST1 knock out U87 cell xenograft GBM mice (TWIST1 knock out U87 cell line) using their transcriptomes Overall design: Methods: Investigation of TWIST1 expression on glioblastoma malignancy in vitro and in vivo.
Publication Title
Targeting TWIST1 through loss of function inhibits tumorigenicity of human glioblastoma.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 684 Downloadable Samples
- Illumina HiSeq 2500
Description
This scRNA-seq data is an integral part of a manuscript with the above title. Using computational methods, we were able to reconstruct a detailed branched trajectory reflecting pancreatic endocrine differentiation in the mouse embryo. Analysis of the transcriptional changes occuring during the differentiation suggested that epithelial-to-mesenchymal transition likely plays no role in this process, contrary to the prevailing dogma. Our findings were corroborated with high-resolution imaging of the developing pancreas, revealing how differentiating endocrine progenitors migrate in cohesion, forming bud-like islet precursors, or "peninsulas", and that spatiotemporal collinearity during differentiation leads to the typical core-mantle architecture of the mature, spherical islet. This work led to a complete overhaul of our understanding of how pancreatic islets are developed, laying the ground for the generation of entire islets in vitro as a potential novel source of islet transplantation. Overall design: Single-cell suspensions were prepared from pancreata of Neurogenin 3-eGFP mouse embryos sacrificed at different days of embryonic development. Single eGFP-positive cells were FACS-sorted into 96-well plates, and single-cell cDNA was prepared using the SMART-seq protocol. Single-cell sequencing libraries were generated using the Nextera XT DNA library preparation kit and sequenced on an Illumina HiSeq sequencer. Reads were aligned to the mouse reference genome build mm10 with TopHat, and single-cell gene expression profiles were computed using Cufflinks.
Publication Title
A Peninsular Structure Coordinates Asynchronous Differentiation with Morphogenesis to Generate Pancreatic Islets.
Sample Metadata Fields
Specimen part, Subject
View Samples- Caenorhabditis elegans
- 55 Downloadable Samples
- NextSeq 500
Description
We sequence the transcriptomes of 86,024 single cells from C. elegans embryos, spanning from gastrulation to the beginning of cuticle synthesis. We identify the lineage (from the invariant C. elegans cell lineage) and approximate developmental age of each cell in the single cell data. Using these annotations, we investigate the competing influences of cell lineage and cell fate on gene expression. Overall design: Single cell RNA-seq profiles of cells from C. elegans embryos at varying developmental stages (~100-650 minutes post first cleavage). Please note that the GSM2599701 (in GSE98561) raw data was re-analyzed and the resulting (processed) data is linked to the GSM4318946 records, which is duplicated sample record of GSM2599701 (with the re-analysis details) for the convenient retrieval of the complete raw data from SRA.
Publication Title
A lineage-resolved molecular atlas of <i>C. elegans</i> embryogenesis at single-cell resolution.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 27 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Long noncoding RNAs regulate adipogenesis.
Sample Metadata Fields
Specimen part, Disease
View Samples