{"id": "package:78c9597d-048f-42c9-ba69-11e17a020dbe", "name": "ROX_323_04222019-162033_z21860.tif", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/78c9597d-048f-42c9-ba69-11e17a020dbe", "size": 13127902, "created_time": "2020-04-20T20:39:01,636862Z", "updated_time": "2022-12-13T15:43:03,032359Z", "version": "2", "mime_type": "image/tiff", "checksums": [{"checksum": "236b3dd0e7e45c03b9d0e99ddae9464c010dcab9b8c4b5a6358b422daa567ef2", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prd-sparc-discover50-use1/119/files/source/sub-PR1643/PR1634_BiMk_Ch1-04-23-19-1362419646/Data/ROX_323_04222019-162033_z21860.tif"}, "region": "us-east-1"}], "dataset": {"id": "119", "doi": "DOI:10.26275/z6jn-j5tx", "title": "Transcriptional diversity of single neurons in the porcine right atrial ganglionic plexus (RAGP)", "description": "Single neurons were collected from 4 different porcine RAGP through laser capture microdissection (LCM) and subjected to HT-qPCR to assay for expression of over 200 genes.\n", "abstract": "**Study purpose:** The purpose of this study was to create comprehensive atlas of the cardiac ICN in porcine RAGP at a cellular level providing gene expression profiles of cardiac neurons on single cell resolution. We developed an approach to appreciate the 3D organization of the intracardiac neurons, ICN, while at the same time permitting single cell transcriptomics and connectomics.\n\n**Data collection:** The dataset contains neuron gene expression profiling from high throughput real-time quantitative PCR generated by the Fluidigm Dynamic Array: For the data presented in this investigation, data from 21 96-well chips, containing samples from 4 different RAGP were normalized and combined into a single matrix for downstream analysis. The transcriptomic data set consists of 100,015 data points from 241 assayed genes across 415 samples of single neurons across 4 RAGP. The raw output from Fluidigm Biomark is included as well as text files of final matrices showing the Ct values and pass/fail assessment from QC. Data files included are the raw Ct, negative dct, and negative ddct values for 241 genes across 415 samples. A final data matrix, taken forward for analysis, includes 405 samples (10 samples were excluded as outliers) and genes that had more than 40% detection across all samples. Sample annotations are also included.\n\n**Primary Conclusion:** Through HT-qPCR of single neurons collected across 4 RAGP, it is possible to develop a transcriptional profile of the cardiac ICN in the porcine RAGP. Imaging of these samples as they were collected through Laser Capture Microdissection (LCM) allowed spatial tracking of these samples within their 3D context, allowing the transcriptional profiles of these neurons to be mapped back to their anatomical locations."}}