Dataset Information

LOESS-Corrected UMI Counts Enable Absolute RNA Quantification in Single-Cell Transcriptomics

ABSTRACT: The parathyroid gland is one of the endocrine glands in the body and plays a key role in regulating calcium and phosphate homeostasis through the production and release of parathyroid hormone (PTH). Despite its physiological importance, research on the parathyroid gland remains limited due to its small size and concealed anatomical location. Previous studies have suggested that the parathyroid gland consists of principal cells, acidophilic cells, and other cell types. While recent studies have applied single-cell sequencing to investigate the rat parathyroid gland, a comprehensive analysis of cell subpopulations, gene expression differences, and rare cell types is still needed. Therefore, this study aims to further utilize single-cell sequencing technology to analyze the transcriptional profiles of different cell types in the normal rat parathyroid gland, refine the characterization of cellular diversity, and provide additional insights into the molecular landscape of the rat parathyroid gland.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE291906 | GEO | 2025/07/01

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Thiele2013 - Parathyroid gland glandular cells The model of parathyroid gland glandular cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000 ). This model is described in the article: A community-driven global reconstruction of human metabolism. Thiele I, et al . Nature Biotechnology Abstract: Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven, consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/. This model is hosted on BioModels Database and identified by: MODEL1310110028 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Primary hyperparathyroidism is a common endocrine disorder frequently affecting postmenopausal women. In this study we have investigated expression of the prolactin receptor (PRLr) in a panel of 37 sporadic parathyroid tumours, as well as functionality in vitro in cultured parathyroid tumour cells. High levels of the prolactin receptor gene (PRLR) transcripts were demonstrated in parathyroid tissues as compared to other reference tissues and breast cancer cells. PRLr products of 60/70 kDa were highly expressed in all parathyroid tumours. In addition varying levels of the 80 kDa PRLr isoform, with known proliferative activity, were demonstrated. In parathyroid tumours PRLr immunoreactivity was observed in cytoplasm in all cases and in addition in the plasma membrane (n = 12) or enlarged lysosomes (n = 4). In normal parathyroid rim PRLr was expressed in cytoplasm and granulae. In in vitro studies of short-term cultured human parathyroid tumour cells prolactin stimulation was associated with transcriptional changes in JAK/STAT, RIG-I like receptor and type II interferon signaling pathways as documented by gene expression profiling. Moreover, PRLR gene expression in parathyroid tumors was significantly inversely correlated with plasma total Ca2+ levels. In conclusion, the prolactin receptor was found highly abundant in human parathyroid gland, parathyroid tumours, correlated with patient Ca2+ levels and functionally responsive to physiological levels of prolactin. These findings suggest a role for the prolactin receptor in human parathyroid adenomas. Expression profiling was done in parathyroid adenomas subjected to prolactin treatment in culture. In addition, corresponding paraffin sections were obtained for verification of PRLr expression by immunohistochemistry. 200 mg/L prolactin (recombinant humanM-BM- prolactin, Cat. No. JM-4687-50, MBL Woburn, MA) was added to 1M-CM-^W 10^6 attached parathyroid tumour cells. Cells were harvested using RNAlater (QIAGEN) and homogenized with QIAshredder for RNA extraction after 3 h and 24 h in culture, respectively. Negative controls were collected in parallel with each case at the same time points. RNA was extracted using QIA Cube, and quality assessed with Bioanalyser and Nanodrop. Expression array profiling and data analysis was done at the KI core facility Bioinformatics and Expression Analysis (BEA, Novum, Huddinge) using the Affymetrix platform and the TITAN ST 1.1 array. A total of 16 samples were analysed including 4 parathyroid adenomas cultured for 3 h or 24 h in the presence of prolactin plus control samples cultured in parallel without prolactin.

Dataset Information

LOESS-Corrected UMI Counts Enable Absolute RNA Quantification in Single-Cell Transcriptomics

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets