Certain neuron types fire spontaneously at high rates, an ability that is crucial for their function in brain circuits. The spontaneously active GABAergic neurons of the substantia nigra pars reticulata (SNr), a major output of the basal ganglia, provide tonic inhibition of downstream brain areas. A depolarizing "leak" current supports this firing pattern, but its molecular basis remains poorly understood. To understand how SNr neurons maintain tonic activity, we used single-cell RNA sequencing to determine the transcriptome of individual SNr neurons. We discovered that SNr neurons express the sodium leak current, NaLCN and that SNr neurons lacking NaLCN have impaired spontaneous firing. Overall design: RNA sequencing profiles from 87 GFP-positive GABAergic SNr neurons and 9 GFP-negative SNr cells were carried out. However only 80 samples that passed initial quality control and that were included in the data processing are represented in this record.
The leak channel NALCN controls tonic firing and glycolytic sensitivity of substantia nigra pars reticulata neurons.
Specimen part, Cell line, Subject
View SamplesGene expression heterogeneity in the pluripotent state of mouse embryonic stem cells (mESCs) has been increasingly well-characterized. In contrast, exit from pluripotency and lineage commitment have not been studied systematically at the single-cell level. Here we measured the gene expression dynamics of retinoic acid driven mESC differentiation using an unbiased single-cell transcriptomics approach. We found that the exit from pluripotency marks the start of a lineage bifurcation as well as a transient phase of susceptibility to lineage specifying signals. Our study revealed several transcriptional signatures of this phase, including a sharp increase of gene expression variability and a handover between two classes of transcription factors. In summary, we provide a comprehensive analysis of lineage commitment at the single cell level, a potential stepping stone to improved lineage control through timing of differentiation cues. Overall design: Bulk and single-cell RNA-seq (SCRB-seq and SMART-seq) of mouse embryonic stem cells after different periods of continuous exposure to retinoic acid. Bulk RNA-seq of cell lines derived after retinoic exposure and after differentiation with retinoic acid and MEK inhibitor combined.
Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells.
Cell line, Subject
View SamplesInduced pluripotency is a promising avenue for disease modeling and therapy, but the molecular principles underlying this process, particularly in human cells, remain poorly understood due to donor-to-donor variability and intercellular heterogeneity. Here we constructed and characterized a clonal, inducible human reprogramming system that provides a reliable source of cells at any stage of the process. This system enabled integrative transcriptional and epigenomic analysis across the human reprogramming timeline at high resolution. We observed distinct waves of gene network activation, including the ordered re-activation of broad developmental regulators followed by early embryonic patterning genes and culminating in the emergence of a signature reminiscent of pre-implantation stages. Moreover, complementary functional analyses allowed us to identify and validate novel regulators of the reprogramming process. Altogether, this study sheds light on the molecular underpinnings of induced pluripotency in human cells and provides a robust cell platform for further studies. Overall design: mRNA sequencing of primary and secondary fibroblasts with reference BJ (supplementary file fibroblasts), reprogramming intermendiates from untreated hiF-T reprogramming (supplementary file reprogramming), or selective time points upon LSD1 inhibitor treatment (supplementary file LSD1i). RNA samples used for mRNA sequencing are the same used for smallRNA sequencing.
Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency.
No sample metadata fields
View SamplesInduced pluripotency is a promising avenue for disease modeling and therapy, but the molecular principles underlying this process, particularly in human cells, remain poorly understood due to donor-to-donor variability and intercellular heterogeneity. Here we constructed and characterized a clonal, inducible human reprogramming system that provides a reliable source of cells at any stage of the process. This system enabled integrative transcriptional and epigenomic analysis across the human reprogramming timeline at high resolution. We observed distinct waves of gene network activation, including the ordered re-activation of broad developmental regulators followed by early embryonic patterning genes and culminating in the emergence of a signature reminiscent of pre-implantation stages. Moreover, complementary functional analyses allowed us to identify and validate novel regulators of the reprogramming process. Altogether, this study sheds light on the molecular underpinnings of induced pluripotency in human cells and provides a robust cell platform for further studies. Overall design: single cell RNA-seq profiles from 52 unfractionated hiF-T cells after 10 days of reprogramming
Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency.
No sample metadata fields
View SamplesWe performed gene expression analysis using the SCRB-Seq method from cervical and peripheral blood antigen presenting cells that were collected from women with different cervicovaginal bacterial community types. Overall design: Cervical and peripheral blood antigen presenting cells were FACS sorted using the gating strategy: FSC vs. SSC -> Singlets -> Live CD45+ -> HLA-DR+ -> CD11c+ or CD14+. The genital bacterial microbiomes were characterized in the same women and categorized into Lactobacillus dominance, Gardnerella dominance, or Prevotella dominance.
Cervicovaginal bacteria are a major modulator of host inflammatory responses in the female genital tract.
No sample metadata fields
View SamplesThe differential gene expression of human cardiomyocytes induced by kinase inhibitors sorafenib and sunitinib is measured by a high-throughput mRNA-sequencing approach called 3''-DGE, that is based on a 3'' end-focused reference sequence library and a transcript molecule counting method with unique molecular identifiers (UMI) for correcting PCR bias. Overall design: Cells were treated with sunitinib, sorafenib, or vehicle control for 48 hours, and gene expression levels of all samples were measured by 3''-DGE and conventional random-primed mRNA-sequencing methods using paired-end reading to obtain the genome-wide expression profiles for each sample.
A Comparison of mRNA Sequencing with Random Primed and 3'-Directed Libraries.
Specimen part, Subject
View SamplesThe ontogeny of human Langerhans cells (LCs) remains poorly characterized, in particular the nature of LC precursors and the factors that may drive LC differentiation. Through a systematic transcriptomic analysis of TSLP-activated dendritic cells (DCs), we unexpectedly identified markers that have been associated with a skin-homing potential as well as with a LC phenotype. We performed transcriptomic analysis of TSLP-activated blood DCs, as compared to freshly purified, Medium-, and TNF-activated DCs. Among TSLP up-regulated genes, we identified molecules associated with skin homing, LC phenotype, and LC function, as determined by a literature-based survey. Conversely, genes not expressed in LCs were not found among TSLP-induced genes. Further experiments showed that TGF- synergized with TSLP leading to the differentiation of blood BDCA-1+ DCs into bona fide Birbeck granule-positive LCs.
Human blood BDCA-1 dendritic cells differentiate into Langerhans-like cells with thymic stromal lymphopoietin and TGF-β.
Specimen part
View SamplesTranscriptional analysis of human T cells differentiated in 4 T Helper context ( Th0, Th1, Th2 and Th17) in the presence or not of Interferon alpha
Combinatorial flexibility of cytokine function during human T helper cell differentiation.
Specimen part
View SamplesIntegration of multiple signals shapes cell adaptation to their microenvironment through synergistic and antagonistic interactions. The combinatorial complexity governing signal integration for multiple cellular output responses has not been resolved. For outputs measured in the conditions 0 (control), signals X, Y, X+Y, combinatorial analysis revealed 82 possible interaction profiles, which we biologically assimilated to 5 positive, and 5 negative interaction modes. To experimentally validate their use in living cells, we designed an original computational workflow, and applied it to transcriptomics data of innate immune cells integrating physiopathological signal combinations. Up to 9 of the 10 defined modes coexisted in context-dependent proportions. Each integration mode was enriched in specific molecular pathways, suggesting a coupling between genes involved in particular functions, and the corresponding mode of integration. We propose that multimodality and functional coupling are general principles underlying the systems level integration of physiopathological and pharmacological stimuli by mammalian cells.
Combinatorial code governing cellular responses to complex stimuli.
Time
View SamplesTranscriptome analysis of five population of Antigen Presenting Cells: inflammatory macrophages, Inflammatory dendritic cells, Cd14+CD16- monocytes, CD14 dim Cd16+ monocytes and BDCA1+ Dendritic cells.
Human inflammatory dendritic cells induce Th17 cell differentiation.
No sample metadata fields
View Samples