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Series GSE275097 Query DataSets for GSE275097
Status Public on Aug 24, 2024
Title Enhancer-driven cell type comparison reveals similarities between the mammalian and avian telencephalon
Organism Gallus gallus
Experiment type Other
Summary Combinations of transcription factors govern the identity of cell types, which is reflected by genomic enhancer codes. We utilized deep learning to characterize these enhancer codes and devised three novel metrics to compare cell types in the telencephalon between mammals and birds. To this end, we generated single-cell multiome and spatially-resolved transcriptomics data of the chicken telencephalon. Enhancer codes of orthologous non-neuronal and GABAergic cell types show a high degree of similarity across vertebrates, while excitatory neurons of the mammalian neocortex and avian pallium exhibit varying degrees of similarity. Enhancer codes of avian mesopallial neurons are most similar to those of mammalian deep layer neurons. With this study, we present generally applicable deep learning approaches to characterize and compare cell types solely based on genomic sequences.
 
Overall design 15 days domestic chicken (broiler) were used for the experiments. Coronal sections of the telencephalon were dissected and analyzed with Nova-ST spatial transcriptomics
 
Contributor(s) Hecker N, Kempynck N, Mauduit D, Abaffyova D, Vandepoel R, Dieltens S, Borm L, Sarropoulus I, Bravo Gonzalez-Blas C, De Man J, Davie K, Leysen E, Hulselmans G, Lim L, De Wit J, Christiaens V, Poovathingal S, Aerts S
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Submission date Aug 17, 2024
Last update date Aug 24, 2024
Contact name Stein Aerts
E-mail(s) stein.aerts@kuleuven.be
Organization name VIB-KU Leuven
Department Center for Brain and Disease Research
Lab Laboratory of Computational Biology
Street address Herestraat 49 PO Box 602
City Leuven
ZIP/Postal code 3000
Country Belgium
 
Platforms (1)
GPL34823 Illumina NovaSeq X (Gallus gallus)
Samples (2)
GSM8465619 NovaST_coronal_section_plate5
GSM8465620 NovaST_coronal_section_plate12
Relations
BioProject PRJNA1149297

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Supplementary file Size Download File type/resource
GSE275097_RAW.tar 8.4 Gb (http)(custom) TAR (of PICKLE, TIFF, TXT)
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Raw data are available in SRA

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