{"database":"biostudies-arrayexpress","file_versions":[],"scores":null,"additional":{"submitter":["Juan Sanchez-Alcaniz"],"organism":["Drosophila melanogaster"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15220"],"description":["The dataset contains RNAseq data derived from Drosophila melanogaster Gustatory Second Order Neurons (G2Ns). G2Ns were labelled using the trans-TANGO technique using the Gr64f-Gal4 and Gr66a-Gal4 transgenes for sweet and bitter gustatory neurons respectively. G2Ns labelled with trans-TANGO (tomato) were sorted using Fluorescent Activated Cell Sorting (FACS)."],"repository":["biostudies-arrayexpress"],"sample_protocol":["Library Construction - Libraries were prepared by the CRG (Genomic Research Centre, Barcelona, Spain) using an ultra-low RNA input protocol.","Sequencing - RNA samples were sequenced by using 50 bp single reads on al Illumina HiSeq2500 (for fed condition) and Illumina NextSeq2000 (for starved condition) sequencers according to CRG protocols.","Growth Protocol - Flies were growth in standard Iberin fly food in a 12 h light:12 h dark cycle at 25ºC until use.","Sample Collection - Samples were collected after dissection in Dulbecco’s Phosphate Buffer Saline, then digested by an enzymatic mixture with papaine and collagenase, and finally sorted by FACS into RNA extraction buffer.","Nucleic Acid Extraction - RNA was extracted by using the PicoArcturus (ThermoFisher, ref. 12204-01) according to manufacturer standard protocol. This procedure includes a serial centrifugation method which include washing buffer and 70% ethanol, to finally elude samples in the elution buffer provided."],"figure_sub":["Organization","MINSEQE Score","Assays and Data","Processed Data","MAGE-TAB Files"],"data_protocol":["Sequence Alignment - Reads were aligned to the D. melanogaster reference genome from the Ensemble Project database (EMBL-EBI, Cambridge, UK) using STAR v2.7.9a (Spliced Transcripts Alignment to a Reference) (Dobin et al., 2013).","Data Transformation - Differential gene expression analysis was performed using DESeq2 v1.28.1 (Love et al., 2014) with the free R programming language (GNU project) software RStudio v4.2. Also, the reads within the gene were transformed by this tool to a total of counts per gene. Transcripts per million (TPM) were calculated using Salmon 1.10.2 (Roberts et al., 2011)."],"omics_type":["Metabolomics","Unknown","Transcriptomics","Genomics","Proteomics"],"instrument_platform":["Illumina HiSeq 2500"],"pubmed_abstract":["Animals must balance the urgent need to find food during starvation with the critical necessity to avoid toxic substances to ensure their survival. In <i>Drosophila</i>, specialized Gustatory Receptors (GRs) expressed in Gustatory Receptor Neurons (GRNs) are critical for distinguishing between nutritious and potentially toxic food. GRNs project their axons from taste organs to the Subesophageal Zone (SEZ) in the Central Brain (CB) of <i>Drosophila</i>, where gustatory information is processed. Although the roles of GRs and GRNs are well-documented, the processing of gustatory information in the SEZ remains unclear. To better understand gustatory sensory processing and feeding decision-making, we molecularly characterized the first layer of gustatory interneurons, referred to as Gustatory Second-Order Neurons (G2Ns), which receive direct input from GRNs. Using trans-synaptic tracing with <i>trans-</i>Tango, cell sorting, and bulk RNAseq under fed and starved conditions, we discovered that G2Ns vary based on gustatory input and that their molecular profile changes with the fly's metabolic state. Further data analysis has revealed that a pair of neurons in the SEZ, expressing the neuropeptide Leucokinin (SELK neurons), receive simultaneous input from GRNs sensing bitter (potentially toxic) and sweet (nutritious) information. Additionally, these neurons also receive inputs regarding the starvation levels of the fly. These results highlight a novel mechanism of feeding regulation and metabolic integration."],"study_type":["RNA-seq of coding RNA"],"species":["Drosophila melanogaster"],"pubmed_title":["Molecular characterization of gustatory second-order neurons reveals integrative mechanisms of gustatory and metabolic information"],"pubmed_authors":["Juan Sanchez-Alcaniz","Mollá-Albaladejo R, Jiménez-Caballero M and Sánchez-Alcañiz JA"],"additional_accession":[]},"is_claimable":false,"name":"RNAseq of Drosophila Sweet and Bitter Gustatory Second Order Neurons","description":"The dataset contains RNAseq data derived from Drosophila melanogaster Gustatory Second Order Neurons (G2Ns). G2Ns were labelled using the trans-TANGO technique using the Gr64f-Gal4 and Gr66a-Gal4 transgenes for sweet and bitter gustatory neurons respectively. G2Ns labelled with trans-TANGO (tomato) were sorted using Fluorescent Activated Cell Sorting (FACS).","dates":{"release":"2025-06-28T00:00:00Z","modification":"2025-06-12T13:33:00.672Z","creation":"2025-06-12T13:27:55.701Z"},"accession":"E-MTAB-15220","cross_references":{"ENA":["ERP173422"],"EFO":["EFO_0002944","EFO_0004170","EFO_0003789","EFO_0004917","EFO_0005518","EFO_0003816","EFO_0003738","EFO_0004184"],"doi":["10.7554/elife.100947"]}}