Dendritic cells (DC) are professional antigen-presenting cells that orchestrate immune responses. The human DC population comprises two main functionally-specialized lineages, whose origins and differentiation pathways remain incompletely defined. Here we combine two high-dimensional technologies — single-cell mRNA sequencing and Cytometry by Time-of-Flight (CyTOF), to identify human blood CD123+CD33+CD45RA+ DC precursors (pre-DC). Pre-DC share surface markers with plasmacytoid DC (pDC) but have distinct functional properties that were previously attributed to pDC. Tracing the differentiation of DC from the bone marrow to the peripheral blood revealed that the pre-DC compartment contains distinct lineage-committed sub-populations including one early uncommitted CD123high pre-DC subset and two CD45RA+CD123low lineage-committed subsets exhibiting functional differences. The discovery of multiple committed pre-DC populations opens promising new avenues for the therapeutic exploitation of DC subset-specific targeting. Overall design: Single cell mRNA sequencing was used to investigate the transcriptomic relationships within the dendritic cell precursors within the peripheral blood.
Mapping the human DC lineage through the integration of high-dimensional techniques.
Specimen part, Subject
View SamplesDendritic cells (DC) are professional antigen-presenting cells that orchestrate immune responses. The human DC population comprises two main functionally-specialized lineages, whose origins and differentiation pathways remain incompletely defined. Here we combine two high-dimensional technologies — single-cell mRNA sequencing and Cytometry by Time-of-Flight (CyTOF), to identify human blood CD123+CD33+CD45RA+ DC precursors (pre-DC). Pre-DC share surface markers with plasmacytoid DC (pDC) but have distinct functional properties that were previously attributed to pDC. Tracing the differentiation of DC from the bone marrow to the peripheral blood revealed that the pre-DC compartment contains distinct lineage-committed sub-populations including one early uncommitted CD123high pre-DC subset and two CD45RA+CD123low lineage-committed subsets exhibiting functional differences. The discovery of multiple committed pre-DC populations opens promising new avenues for the therapeutic exploitation of DC subset-specific targeting. Overall design: single-cell RNA Seq of human dendritic cells
Mapping the human DC lineage through the integration of high-dimensional techniques.
Specimen part, Subject
View SamplesThe ability of transcriptional regulators to drive lineage conversion of somatic cells offers great potential for the treatment of human disease. While current research in this field is focused on the generation of induced pluripotent stem cells or direct lineage transdifferentiation, less attention has been paid to the possibility of reprogramming cells to produce cytokines, growth factors and hormones. To explore the concept of switching on specific target genes in heterologous cells, we developed a model system to screen candidate factors for their ability to activate the archetypal megakaryocyte-specific chemokine platelet factor 4 (PF4) in fibroblasts. We found that co-expression of the transcriptional regulators GATA1 and FLI1 resulted in a significant increase in levels of PF4, which became magnified over time. We also determined that inclusion of a third factor, TAL1, further enhanced upregulation of PF4 expression. Our study therefore identified of TAL1 as an important component in the combination of transcriptional regulators that contribute to megakaryocyte programming, and demonstrated that such combinations can be used to produce potentially beneficial chemokines in readily available heterologous cell types.
Partial reprogramming of heterologous cells by defined factors to generate megakaryocyte lineage-restricted biomolecules.
Time
View SamplesHyperactivation of phosphatidylinositol-3 kinase (PI3K) promotes escape from hormone dependence in estrogen receptor-positive breast cancer.
Hyperactivation of phosphatidylinositol-3 kinase promotes escape from hormone dependence in estrogen receptor-positive human breast cancer.
Specimen part, Cell line
View SamplesAnalysis of 104 breast cancer biopsies (removed prior to any treatment with tamoxifen or chemotherapeutic agents) from patients aged between 31 years and 89 years at the time of diagnosis (mean age = 58 years). Twenty were less than 50 years and seventy-seven women were 50 years, or older, at diagnosis. The size of the tumours ranged between 0.6 cm and 8.0 cm (mean = 2.79 cm). Eighteen tumours were T1 (<2 cm) in maximal dimension; 83 were T2 (25 cm) and 3 tumours were T3 (>5 cm). Eighty-two were invasive ductal carcinoma, 17 were invasive lobular and five were tumours of special type (two tubular and three mucinous). Eleven tumours were grade 1; 40 were grade 2; and 53 were grade 3. Sixty-seven tumours were oestrogen receptor (ER) positive and 34 were ER negative (ER status was determined by Enzyme Immuno-Assay (EIA); a positive result was defined as more than 200 fmol/g protein). ER status was not available for 3 patients. Forty-five tumours had no axillary metastases and 59 tumours had metastasised to axillary lymph nodes. Sixty-nine women were treated with post-operative tamoxifen; 26 did not receive tamoxifen. Fifty patients were treated with adjuvant systemic chemotherapy (CMF +/ adriamycin); 45 patients did not receive chemotherapy. Details regarding tamoxifen and systemic chemotherapy were not available for 9 patients. Maximal follow-up was 3,026 days with a mean follow-up of 1,887 days.
Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis.
Age, Specimen part, Disease stage
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genome-wide transcriptome profiling of homologous recombination DNA repair.
Specimen part, Cell line
View SamplesHomologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities. Here, we identified an HRD gene signature that robustly predicted HRD status. Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK. We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map. Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information.
Genome-wide transcriptome profiling of homologous recombination DNA repair.
Specimen part, Cell line
View SamplesHomologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities. Here, we identified an HRD gene signature that robustly predicted HRD status. Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK. We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map. Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information.
Genome-wide transcriptome profiling of homologous recombination DNA repair.
Specimen part, Cell line
View SamplesHomologous recombination-mediated DNA repair deficiency (HRD) predisposes to cancer development, but also provides therapeutic opportunities Here, we identified an HRD gene signature that robustly predicted HRD status Unexpectedly, concurrent loss of PTEN in BRCA1-deficient cells might extensively rewire the HR repair network and confer resistance to PARP inhibitor, partially through over-expression of TTK We used the HRD gene signature as a drug discovery tool and found several PARP-inhibitor-synergizing agents through the connectivity map Thus gene expression profiling can be used to define the functional status of the HR repair network providing prognostic and therapeutic information
Genome-wide transcriptome profiling of homologous recombination DNA repair.
Specimen part, Cell line
View SamplesThis study was designed to provide a genome-wide analysis of the effects of luteinizing hormone (LH) ablation/replacement versus steroid ablation/replacement on gene expression in the developed corpus luteum (CL) in primates during the menstrual cycle. Naturally cycling, female rhesus monkeys were left untreated (Control; n = 4) or received one of the following treatments for three days beginning on Day 9 of the luteal phase: daily injection of the gonadotropin-releasing hormone (GnRH) antagonist (Antide; n = 5), Antide + recombinant human LH (A+LH; n = 4), Antide + LH + the 3b-HSD antagonist Trilostane (A+LH+TRL; n = 4), and Antide + LH + TRL + progesterone replacement with a synthetic progestin R5020 (A+LH+TRL+ R5020; n = 5). On Day 12 of the luteal phase, CL were removed and samples of RNA from individual CL were fluorescently labeled and hybridized to Affymetrix rhesus macaque total genome microarrays. The greatest number of altered transcripts was associated with the ablation/replacement of LH, while ablation/replacement of progestin affected fewer transcripts. Replacement of LH during Antide treatment restored expression of most transcripts to control levels. Real-time PCR validation of a subset of transcripts revealed that most expression patterns were similar between microarray and real-time PCR. Analysis of protein levels were subsequently determined for 2 of the transcripts differentially expressed by real-time PCR. This is the first genome-wide analysis of LH and steroid regulation of gene transcription in the developed primate CL. Further analysis of novel transcripts identified in this data set can clarify the relative role for LH and steroids in CL maintenance and luteolysis.
The effects of luteinizing hormone ablation/replacement versus steroid ablation/replacement on gene expression in the primate corpus luteum.
No sample metadata fields
View Samples