Single-cell RNA-sequencing analysis for the molecular taxonomy of primate amygdala
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ABSTRACT:
PROVIDER: PRJNA608182 | ENA |
REPOSITORIES: ENA
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Project description:We thus isolated amygdala from rhesus macaques and performed single-cell RNA-sequencing analysis. The scRNA-Seq libraries were generated using the 10X Genomics Chromium Controller Instrument and Chromium Single Cell 3’ V2 Reagent Kits (10X Genomics, Pleasanton, USA). Briefly, cells nuclei were concentrated to 1000 nuclei/μL and approximately 15000 nuclei were loaded into each channel to generate single-cell Gel Bead-In-Emulsions (GEMs), which results into expected mRNA barcoding of 9000 single nucleus for each sample.
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Project description:Even though urothelial cancer (UC) is the fourth common tumor type among males, progress in treatment development has been deficient. Pathological assessment provides the urologists with only a broad classification, complicated by frequent disagreement among pathologist and the co-existence of different grading systems. Consequently, there is a great need for an objective, reproducible and biologically relevant classification system to make treatment more efficient. In the present investigation we present a molecular taxonomy for UC stratification based on integrated genomics. We used gene expression profiles from 308 UC to define seven molecular subtypes using step-by-step partitions and a bootstrap approach. Results were validated in three independent and publically available data sets. The subtypes differ significantly with respect to expression of cell cycle genes, of receptor tyrosine kinases particularity FGFR3, ERBB2 (HER2), and EGFR, of an FGFR3 associated gene expression signature, of cytokaratins, and of cell adhesion genes. The subtypes also differ significantly with respect to FGFR3, PIK3CA, and TP53 mutations. The expression of key proteins was validated by IHC on TMA. A further inspection indicated that the subtypes could be reduced to four major types of UC; Urobasal/D-driven, Genomically unstable/E-driven, Evolved urobasal, and Basal/SCC like, with characteristic and highly divergent molecular phenotypes. We show that the molecular subtypes cut across pathological classification and that tumors classified as one subtype maintain their characteristic molecular phenotype irrespective of pathological stage and grade. Available data from the Drugbank database and the Cochrane central registry of controlled trials indicate that susceptibility to specific drugs is more likely to be associated with the molecular stratification than with pathological classification. The presented molecular taxonomy stratifies UC into subtypes with distinct molecular phenotypes and biological properties. We anticipate that the molecular taxonomy will be a useful tool in future clinical investigations. Total RNA from fresh-frozen resection samples of 308 urothelial carcinomas was hybridized to the Illumina HumanHT-12 V3.0 expression beadchip arrays (Illumina Inc) at the SCIBLU Genomics Centre at Lund University Sweden (http://www.lth.se/sciblu). Supplementary files: GSE32894_non-normalized_308UCsamples.txt file = Raw intensity values for 308 UC (urothelial tumor) samples subjected only to background correction. GSE32894_reps_normals_preprocess*.txt files = Descriptive details and non-normalized data for technical replicates and normal samples that were used only in the preprocessing of the data. This dataset partly overlaps with Series GSE32549. Names of the overlapping sample names are the same, but the title of each sample is unique to the hybridization.
2012-05-23 | E-GEOD-32894 | biostudies-arrayexpress
Project description:Even though urothelial cancer (UC) is the fourth common tumor type among males, progress in treatment development has been deficient. Pathological assessment provides the urologists with only a broad classification, complicated by frequent disagreement among pathologist and the co-existence of different grading systems. Consequently, there is a great need for an objective, reproducible and biologically relevant classification system to make treatment more efficient. In the present investigation we present a molecular taxonomy for UC stratification based on integrated genomics. We used gene expression profiles from 308 UC to define seven molecular subtypes using step-by-step partitions and a bootstrap approach. Results were validated in three independent and publically available data sets. The subtypes differ significantly with respect to expression of cell cycle genes, of receptor tyrosine kinases particularity FGFR3, ERBB2 (HER2), and EGFR, of an FGFR3 associated gene expression signature, of cytokaratins, and of cell adhesion genes. The subtypes also differ significantly with respect to FGFR3, PIK3CA, and TP53 mutations. The expression of key proteins was validated by IHC on TMA. A further inspection indicated that the subtypes could be reduced to four major types of UC; Urobasal/D-driven, Genomically unstable/E-driven, Evolved urobasal, and Basal/SCC like, with characteristic and highly divergent molecular phenotypes. We show that the molecular subtypes cut across pathological classification and that tumors classified as one subtype maintain their characteristic molecular phenotype irrespective of pathological stage and grade. Available data from the Drugbank database and the Cochrane central registry of controlled trials indicate that susceptibility to specific drugs is more likely to be associated with the molecular stratification than with pathological classification. The presented molecular taxonomy stratifies UC into subtypes with distinct molecular phenotypes and biological properties. We anticipate that the molecular taxonomy will be a useful tool in future clinical investigations.
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Project description:The amygdala or amygdala-like structure in the brain are found in all vertebrates, and plays a critical role for emotional processing. But the cellular architecture of amygdala and how they evolved are still elusive. Here, we generated single-nucleus RNA-sequencing data for more than 200,000 cells in human, macaque, mouse and chicken amygdala. Abundant neuronal cell types derived from different subnuclei of amygdala were identified in all datasets. Cross-species analyses revealed GABAergic neurons and GABAergic neuron-enriched subnuclei of amygdala were well-conserved in cellular composition and marker gene expression, whereas glutamatergic neuron-enriched subnuclei were relatively divergent. Furthermore, we discovered that LAMP5+ interneurons were much more numerous in primates, while DRD2+ GABAergic neurons, LAMP5+ and SATB2+ glutamatergic neurons were predominant in the human central amygdalar nucleus (CEA) and basolateral amygdala complex (BLA), respectively. In addition, we also identified GABAergic neuron-enriched subnuclei of amygdala in the chicken. Altogether, our study highlight extremely cell-type diversity in the amygdala across species and their species-specifc adaptations.
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Project description:Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal and treatment-refractory cancer. Molecular stratification in pancreatic cancer remains rudimentary and does not yet inform clinical management or therapeutic development. Here we construct a high-resolution molecular landscape of the multicellular subtypes and spatial communities that compose PAC using single-nucleus RNA-seq and whole-transcriptome digital spatial profiling (SP) of 43 primary PDAC tumor specimens that either received neoadjuvant therapy or were treatment-naïve. We uncovered expression programs across malignant cells and fibroblasts, including a newly-identified neural-like progenitor malignant cell program that was enriched after chemotherapy and radiotherapy and associated with poor prognosis in independent cohorts. Integrating spatial and cellular profiles revealed three multicellular communities: classical, squamoid-basaloid, and treatment-enriched. Our refined molecular and cellular taxonomy can advance precision oncology in PAC through stratification in clinical trials and as roadmap for therapeutic targeting of specific cellular phenotypes and multicellular interactions.
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Project description:We thus isolated hippocampus from rhesus macaques and performed single-cell RNA-sequencing analysis. The scRNA-Seq libraries were generated using the 10X Genomics Chromium Controller Instrument and Chromium Single Cell 3’ V2 Reagent Kits (10X Genomics, Pleasanton, USA).
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2023-11-08 | GSE207128 | GEO
Project description:Theories of amygdala function are central to our understanding of psychiatric and neurodevelopmental disorders. However, our limited knowledge of the molecular and cellular composition of the amygdala impedes translational research aimed at developing new treatments and interventions. Here, we use single-nucleus RNA-sequencing from multiple amygdala subnuclei in both humans (n=3, Male) and rhesus macaques (n=3, Male) to begin to bridge the gap between preclinical rodent models and human disorders. Our results reveal substantial heterogeneity between regions, even when restricted to inhibitory or excitatory neurons. Consistent with prior work, our data highlight the complexities of individual marker genes for uniquely targeting specific cell-types. Cross-species analyses suggest the rhesus monkey model to be well-suited to understanding the human amygdala, but also identify limitations. For example, we identified a cell-cluster in the ventral lateral nucleus (vLA) of the amygdala that is enriched in humans, relative to rhesus macaques. Additionally, we identify specific cell-clusters with relative enrichment of disorder-related genes. These analyses point to the human-enriched vLa cell-cluster as relevant to ASD, potentially highlighting a vulnerability to neurodevelopmental disorders that has emerged in recent primate evolution. Further, we identified a cluster of cells expressing markers for intercalated cells (ITCs) that is enriched for genes reported in human genome-wide association studies of neuroticism, anxiety disorders, and depressive disorders. Together, these data shed light on the composition of the amygdala and identify specific cell-types that can be prioritized in basic science research to better understand human psychopathology and guide the development of potential treatments
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