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Series GSE229793 Query DataSets for GSE229793
Status Public on May 12, 2023
Title Incongruence between transcriptional and vascular pathophysiological cell states I
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary The Notch pathway is a major regulator of endothelial transcriptional specification. Targeting the Notch receptors or the ligand Dll4 induces angiogenesis. Here, by analyzing single and compound genetic mutants for all Notch signaling members, we find significant differences in the way ligands and receptors regulate liver vascular homeostasis. Loss of Notch receptors caused endothelial hypermitogenic cell-cycle arrest and senescence. Conversely, Dll4 loss triggered a strong Myc-driven transcriptional switch inducing endothelial proliferation and the tip-cell state. Myc loss suppressed the induction of angiogenesis in the absence of Dll4, without preventing the vascular enlargement and organ pathology. Similarly, inhibition of other pro-angiogenic pathways, including MAPK/ERK and mTor, had no effect on the vascular expansion induced by Dll4 loss, however, anti-VEGFA treatment prevented it without fully suppressing the transcriptional and metabolic programs. This study shows incongruence between single-cell transcriptional states, vascular phenotypes, and related pathophysiology. Our findings also suggest that the vascular structure abnormalization, rather than neoplasms, causes the reported anti-Dll4 antibody toxicity.
 
Overall design Liver endothelial cells of the Cdh5-CreERT2 + iSuRe-Cre mice (with or without different floxed alleles) were isolated by Fluorescence-activated cell sorting (FACS) according to their CD31+ (ECs) profile and the presence of iSuRe-Cre reporter Tomato signal (induced by Cdh5-CreERT2 - expressed only in ECs). These cells were analyzed using scRNA-seq.

Liver non Endothelial Cells of the Cdh5-CreERT2 + iSuRe-Cre mice were isolated by Fluorescence-activated cell sorting (FACS) after gating on the CD31Negative population with varying levels of CD45 (Neg, Lo and Hi) and analyzed using scRNAseq.
Web link https://doi.org/10.1038/s44161-023-00272-4
 
Contributor(s) Regano Á, Torroja C, Fernández-Chacón M, Mühleder S, Garcia-Ortega L, Rocha SF, Sanchez-Muñoz MS, Lytvyn M, Casquero-Garcia V, De Andrés-Laguillo M, Muhl L, Orlich MM, Gaengel K, Camafeita E, Vazquez J, Benguría A, Iruela-Arispe M, Dopazo A, Sánchez-Cabo F, Carter H, Benedito R
Citation(s) 37745941
Submission date Apr 14, 2023
Last update date Oct 03, 2023
Contact name Rui Benedito
E-mail(s) rui.benedito@cnic.es
Organization name CNIC
Department 3N
Lab Molecular Genetics of Angiogenesis
Street address C. de Melchor Fernández Almagro, 3
City Madrid
State/province Madrid
ZIP/Postal code 28029
Country Spain
 
Platforms (2)
GPL21103 Illumina HiSeq 4000 (Mus musculus)
GPL30172 NextSeq 2000 (Mus musculus)
Samples (10)
GSM7177823 Liver_1_GEX_CD31+_ECs_scRNASeq_Control_Dll4iDEC_Notch1iDEC_RbpjiDEC
GSM7177824 Liver_1_HTO
GSM7177825 Liver_2_GEX_CD31+ECs _Control_DBZ_Dll4iDEC+Anti-VEGF_ Notch1/2/4iDEC_ Dll4 HETiDEC
This SubSeries is part of SuperSeries:
GSE231613 Incongruence between transcriptional and vascular pathophysiological cell states
Relations
BioProject PRJNA955832

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE229793_Liver_1.barcodes.tsv.gz 27.1 Kb (ftp)(http) TSV
GSE229793_Liver_1.features.tsv.gz 284.2 Kb (ftp)(http) TSV
GSE229793_Liver_1.matrix.mtx.gz 52.3 Mb (ftp)(http) MTX
GSE229793_Liver_2.barcodes.tsv.gz 115.9 Kb (ftp)(http) TSV
GSE229793_Liver_2.features.tsv.gz 284.2 Kb (ftp)(http) TSV
GSE229793_Liver_2.matrix.mtx.gz 210.5 Mb (ftp)(http) MTX
GSE229793_Liver_3.barcodes.tsv.gz 64.5 Kb (ftp)(http) TSV
GSE229793_Liver_3.features.tsv.gz 284.2 Kb (ftp)(http) TSV
GSE229793_Liver_3.matrix.mtx.gz 83.1 Mb (ftp)(http) MTX
GSE229793_Liver_4.barcodes.tsv.gz 46.9 Kb (ftp)(http) TSV
GSE229793_Liver_4.features.tsv.gz 284.2 Kb (ftp)(http) TSV
GSE229793_Liver_4.matrix.mtx.gz 65.0 Mb (ftp)(http) MTX
GSE229793_Liver_non_ECs_Ctl_barcodes.tsv.gz 7.6 Kb (ftp)(http) TSV
GSE229793_Liver_non_ECs_Ctl_features.tsv.gz 187.3 Kb (ftp)(http) TSV
GSE229793_Liver_non_ECs_Ctl_matrix.mtx.gz 10.7 Mb (ftp)(http) MTX
GSE229793_Liver_non_ECs_Dll4LOF_barcodes.tsv.gz 19.3 Kb (ftp)(http) TSV
GSE229793_Liver_non_ECs_Dll4LOF_features.tsv.gz 187.3 Kb (ftp)(http) TSV
GSE229793_Liver_non_ECs_Dll4LOF_matrix.mtx.gz 28.6 Mb (ftp)(http) MTX
GSE229793_Liver_non_ECs_expression_matrix.csv.gz 7.6 Mb (ftp)(http) CSV
GSE229793_Liver_non_ECs_metadata.csv.gz 134.1 Kb (ftp)(http) CSV
GSE229793_expression_matrix.csv.gz 31.4 Mb (ftp)(http) CSV
GSE229793_genes.gtf.gz 31.7 Mb (ftp)(http) GTF
GSE229793_genome.fa.fai.txt.gz 875 b (ftp)(http) TXT
GSE229793_genome.fa.gz 769.1 Mb (ftp)(http) FA
GSE229793_metadata.csv.gz 225.9 Kb (ftp)(http) CSV
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