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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
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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.
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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
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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 |
Citation missing |
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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
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Organization name |
VIB-KU Leuven
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Department |
Center for Brain and Disease Research
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Lab |
Laboratory of Computational Biology
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Street address |
Herestraat 49 PO Box 602
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City |
Leuven |
ZIP/Postal code |
3000 |
Country |
Belgium |
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Platforms (1) |
GPL34823 |
Illumina NovaSeq X (Gallus gallus) |
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Samples (2) |
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Relations |
BioProject |
PRJNA1149297 |
Supplementary file |
Size |
Download |
File type/resource |
GSE275097_RAW.tar |
8.4 Gb |
(http)(custom) |
TAR (of PICKLE, TIFF, TXT) |
SRA Run Selector |
Raw data are available in SRA |
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