Immune landscape in ER+ breast cancer subtypes identifies a differential role for macrophages
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PROVIDER: PRJNA798391 | ENA |
REPOSITORIES: ENA
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Project description:Current immunotherapies are ineffective for estrogen receptor positive (ER+) breast cancers, which account for nearly 70% of all breast cancers. Amongst the ER+ breast cancers, the major subtypes are invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC). We utilized droplet-based single-cell RNAseq (10X Genomics) to analyzed the immune landscape of both peripheral blood and tumor infiltrating immune populations in both IDC and ILC. These analyses demonstrated substantial heterogeneity of macrophage within the tumor microenvironment.
2023-01-29 | GSE193911 | GEO
Project description:Metabolic landscape of the male mouse gut identifies different niches determined by microbial activities
2023-03-13 | MSV000091478 | GNPS
Project description:Understanding interplay of breast cancer and microenvironment is critical. Here we identified two transcriptomic subtypes and five immune infiltration patterns from RNA-seq and multiplex immunohistochemistry from 21 ER+/HER2- ILCs. We found proliferative subtype associated with increased suppressive immune infiltration, and defined a signature associated with lower proliferative, pro-inflammatory TAM infiltration, and improved survival in ER+ breast cancer. Our work identified genes related to ILC immune microenvironment and prognosis. This GEO submission is related to RNA-seq section of this study.
2024-11-13 | GSE278301 | GEO
Project description:Metabolic landscape of the male mouse gut identifies different niches determined by microbial activities
2023-03-13 | MSV000091478 | MassIVE
Project description:The endoplasmic reticulum (ER) functions in protein and lipid synthesis, calcium ion flux, and inter-organelle communication, all of which are driven by the ER proteome landscape. ER is remodeled in part through autophagy-dependent protein turnover involving membrane-embedded ER-phagy receptors1,2. A refined tubular ER network is formed in neurons within highly polarized dendrites and axons3,4. Autophagy-deficient neurons in vivo display axonal ER accumulation within synaptic ER boutons, associated with hyper-excitability,5 and the ER-phagy receptor FAM134B has been genetically linked with human sensory and autonomic neuropathy6,7. However, mechanisms and receptor selectivity underlying ER remodeling by autophagy in neurons is limited. Here, we employ genetic, proteomic and computational tools to create a quantitative landscape of ER proteome remodeling via selective autophagy during conversion of stem cells to induced neurons in vitro. Through analysis of single and combinatorial ER-phagy receptor mutants coupled with an allelic series computational framework, we delineate the extent to which each of five receptors contributes to both the magnitude of ER turnover by autophagy and the selectivity of clearance for individual ER proteins. We define specific subsets of reticulon-domain containing ER-tubule shaping proteins or luminal proteins as preferred clients for autophagic turnover via distinct receptors. Using spatial sensors and flux reporters, we demonstrate receptor-specific autophagic capture of ER in axons, which correlates with aberrant accumulation of ER in axonal structures in ER-phagy receptor or autophagy-deficient cells. This molecular inventory of ER proteome remodeling and versatile genetic toolkit provides a quantitative framework for understanding the contributions of individual ER-phagy receptors for reshaping this critical organelle during transitions in cell states.
2024-01-08 | PXD041069 | Pride
Project description:The endoplasmic reticulum (ER) functions in protein and lipid synthesis, calcium ion flux, and inter-organelle communication, all of which are driven by the ER proteome landscape. ER is remodeled in part through autophagy-dependent protein turnover involving membrane-embedded ER-phagy receptors1,2. A refined tubular ER network is formed in neurons within highly polarized dendrites and axons3,4. Autophagy-deficient neurons in vivo display axonal ER accumulation within synaptic ER boutons, associated with hyper-excitability,5 and the ER-phagy receptor FAM134B has been genetically linked with human sensory and autonomic neuropathy6,7. However, mechanisms and receptor selectivity underlying ER remodeling by autophagy in neurons is limited. Here, we employ genetic, proteomic and computational tools to create a quantitative landscape of ER proteome remodeling via selective autophagy during conversion of stem cells to induced neurons in vitro. Through analysis of single and combinatorial ER-phagy receptor mutants coupled with an allelic series computational framework, we delineate the extent to which each of five receptors contributes to both the magnitude of ER turnover by autophagy and the selectivity of clearance for individual ER proteins. We define specific subsets of reticulon-domain containing ER-tubule shaping proteins or luminal proteins as preferred clients for autophagic turnover via distinct receptors. Using spatial sensors and flux reporters, we demonstrate receptor-specific autophagic capture of ER in axons, which correlates with aberrant accumulation of ER in axonal structures in ER-phagy receptor or autophagy-deficient cells. This molecular inventory of ER proteome remodeling and versatile genetic toolkit provides a quantitative framework for understanding the contributions of individual ER-phagy receptors for reshaping this critical organelle during transitions in cell states.
2024-01-08 | PXD046646 | Pride
Project description:We employed the DamID technique to systematically map the genomic distribution of all canonical somatic H1 subtypes (H1.1-H1.5) in human IMR90 cells. Human cells contain up to eleven histone H1 proteins, with different spatial and temporal expression patterns. These include five canonical, replication-dependent somatic H1 subtypes (H1.1, H1.2, H1.3, H1.4 and H1.5). Despite being a key chromatin component, the genomic distribution of the somatic canonical H1 subtypes is still unknown and their role in chromatin related processes has so far remained elusive. Here we employed a DamID approach to map for the first time the genomic localization of all somatic canonical H1 subtypes in human cells. Our integrative analysis reveals novel insights into H1 subtype distribution and uncovers functional chromatin features potentially regulating the H1 genomic landscape. In general H1.2 to H1.5 are depleted from GC-rich regions and regulatory regions associated with active transcription. H1.1 shows a binding profile distinct from the other subtypes, suggesting a unique function for H1.1 in chromatin-regulated processes. Interestingly, our data indicate a novel role for somatic H1 subtypes in the three-dimensional organization of the genome by marking repressive regions within topological domains such as LADs. Our work integrates the five somatic linker histone H1 subtypes into the epigenome maps of human cells and provides a resource to refine our understanding of the significance of H1 and its heterogeneity in the control of genome function. DamID profiling of somatic linker histone variants H1.1, H1.2, H1.3, H1.4 and H1.5 in human fibroblasts. Two biological replicate samples of all H1 variants were hybridized on NimbleGen Human ChIP-chip 2.1M Economy Whole-Genome Tiling - Array GPL16055 covering small human chromosomes.
2013-06-15 | E-GEOD-40886 | biostudies-arrayexpress
Project description:DNA Methylation Identifies Genetically and Prognostically Distinct Subtypes of Myelodysplastic Syndromes
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