Steroids-producing adrenocortical nodules (spatial transcriptomics)
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB63600 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR11631260_1.fastq.gz | Fastqsanger.gz | |||
| ERR11631260_2.fastq.gz | Fastqsanger.gz |
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Project description:This data was used in the analysis of the article titled: Steroids-producing adrenocortical nodules: a novel two-layered structure as a precursor lesion of cortisol-producing adenoma
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Project description:The human adrenal glands are highly dynamic endocrine organs that are involved in the secretion of various hormones such as steroids and catecholamines. Here we present a single-nuclei and spatial transcriptomic analysis of healthy adult human adrenal glands to provide a complete adrenal gland atlas. With this, we show how such an atlas can be taken advantage when studying adrenocortical diseases, such as adrenocortical adenomas (ACA). Using nornal adrenal as reference, we showed a high intra-tumoural heterogeneity in the single-nuclei transcriptome of ACA, revealing the presence of specific cell populations associated with cortisol secretion and genetic background.
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Project description:Adrenocortical tumors are common; their prevalence may reach up to 5-7% in pathological series. Most of them are benign and hormonally inactive, however, rare hormone-secreting (aldosterone and cortisol) and malignant forms are associated with significant morbidity and mortality. The prognosis of adrenocortical cancer (ACC) is poor with an overall five-year survival below 30 %. In this study, CGH analysis was performed on 4 ACC (adrenocortical carcinoma), 4 IA (hormonally inactive adrenocortical adenoma) and 3 CPA (cortisol producing adrenocortical adenoma) samples. Tissue digestion, labeling, hybridization and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. As expected, many of the observed aberrations were generally consistent with those of other preciously published data and will provide the basis for determination how genomic diversity impacts biological function and human diseases, such as cancer.
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Project description:Adrenocortical tumors are common; their prevalence may reach up to 5-7% in pathological series. Most of them are benign and hormonally inactive, however, rare hormone-secreting (aldosterone and cortisol) and malignant forms are associated with significant morbidity and mortality. The prognosis of adrenocortical cancer (ACC) is poor with an overall five-year survival below 30 %. In this study, CGH analysis was performed on 4 ACC (adrenocortical carcinoma), 4 IA (hormonally inactive adrenocortical adenoma) and 3 CPA (cortisol producing adrenocortical adenoma) samples. Tissue digestion, labeling, hybridization and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. As expected, many of the observed aberrations were generally consistent with those of other preciously published data and will provide the basis for determination how genomic diversity impacts biological function and human diseases, such as cancer. In this study, biopsies from adrenocortical tumors (4 ACC, 4 IA and 3 CPA samples) were analysed with CGH. Tissue digestion, labeling, hybridization, and data analysis of genomic DNA were performed according to the Agilent Technologies (Santa Clara, CA) protocol version 2.0 for 105 K arrays. Slides were scanned with Agilent Microarray scanner and data were extracted with Feature Extraction software version 9.5.1.1. DNA Analytics software was used (version 4.0.85, Agilent Technologies, Santa Clara, CA) for data analysis. The starting and ending points of the aberrations were confirmed by the ADM-2 algorithm with 6.0 threshold.
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Project description:Gonadectomy (GDX) induces sex steroid-producing adrenocortical tumors in certain mouse strains and in the domestic ferret. Complementary approaches, including DNA methylation mapping and microarray expression profiling, were used to identify novel genetic and epigenetic markers of GDX-induced adrenocortical neoplasia in female DBA/2J mice. Markers were validated by quantitative RT-PCR, laser capture microdissection, in situ hybridization, and immunohistochemistry. Two genes with hypomethylated promoters, Igfbp6 and Foxs1, were upregulated in post-GDX adrenocortical neoplasms. The neoplastic cells also exhibited hypomethylation of the fetal adrenal enhancer of Sf1, an epigenetic signature that typifies descendants of fetal adrenal rather than gonadal cells. Expression profiling demonstrated upregulation of gonadal-like genes, including Spinlw1, Insl3, and Foxl2, in GDX-induced adrenocortical tumors of the mouse. One of these markers, FOXL2, was detected in adrenocortical tumor specimens from gonadectomized ferrets. These new markers may prove useful for studies of steroidogenic cell development and for diagnostic testing. Total RNA extracted from whole adrenal glands of gonadectomized and non-gonadectomized mice.
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