Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.
Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.
Sex, Age, Disease, Disease stage
View SamplesPost mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects
Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.
Sex, Age, Disease, Disease stage
View SamplesPost mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects
Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.
Sex, Age, Disease, Disease stage
View SamplesPost mortem tissue was dissected from two groups of age and gender matched groups of Parkinson and Control subjects
Transcriptional analysis of multiple brain regions in Parkinson's disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms.
Sex, Age, Disease, Disease stage
View SamplesMurine gliomblastoma tumor progenitor cells TPCs with high and low EGFRvIII activity, pEGFR-Hi and pEGFR-Lo, showed differences in proliferation, differentiation, and invasion. Zs-Green-expressing
GBM heterogeneity as a function of variable epidermal growth factor receptor variant III activity.
Specimen part
View SamplesSingle cell RNA sequencing using either an adapted Smart-seq2 protocol on Chx10-GFP (+) retinal progenitor cells; 10x Genomics Chromium Single Cell system across 10 timepoints of mouse retinal development to examine retinal progenitor cell heterogeneity across retinal development and global changes in gene expression from early retinal neuroepithelial cells through specification and differentiation of retinal cell types; 10X Genomics Chromium Single Cell on P14 Nfia/b/x het control or Nfia/b/x tCKO (Chx10-Cre-GFP) retinas Overall design: Examination of transcript expression within 120,840 cells across 10 developmental time-points (14 experiments) via 10x Genomics and 864 cells via an adapted Smart-Seq2 protocol; Characterization of Nfia/b/x mutant phenotypes using single-cell RNA-seq
Single-Cell RNA-Seq Analysis of Retinal Development Identifies NFI Factors as Regulating Mitotic Exit and Late-Born Cell Specification.
Specimen part, Cell line, Subject
View SamplesRNA-Seq analysis was performed to define the associated changes in gene expression of skeletal muscle treated with follistatin Overall design: Skeletal muscle mRNA profiles from follistatin and control treated tibialis anterior muscles. Acute (3 day treatment, 3 control and 4 follistatin replicates) and chronic (7or 14 day treatment, 3 control and 4 follistatin replicates) timepoints were analysed.
Integrated expression analysis of muscle hypertrophy identifies <i>Asb2</i> as a negative regulator of muscle mass.
Specimen part, Cell line, Treatment, Subject
View SamplesMammary glands were collected from 8 pubescent (4.7-4.9 week-old) female mice and 8 adult (10 week old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 221 cells from pubescent mice and 223 cells from adult mice.
Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.
Cell line, Subject
View SamplesMammary glands were collected from pre-pubescent (2 weeks old), pubescent (4.7- 4.9 weeks old) and adult (10 week-old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under a microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina Hiseq 2000 to achieve 100 bp paired-end reads. Overall design: RNA-seq profiling was completed for 144 cells from 8 pre-puberty (2 week old) mice, 136 cells from 8 pubescent (4.7-4.9 week old) mice and 66 cells from 8 adult (10 week old) mice.
Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.
Cell line, Subject
View SamplesMammary glands were collected from 8 pregnant (12.5 day) mice and 8 adult (10 week old) female mice. Basal epithelial cells were FACS sorted. Freshly sorted cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 75 cells from pregnant mice and 237 cells from adult mice.
Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.
Cell line, Subject
View Samples