NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE256403 Query DataSets for GSE256403
Status Public on Feb 24, 2024
Title SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis I
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Other
Summary We present SIGNAL-seq (Split-pool Indexing siGNalling AnaLysis by sequencing): a multiplexed split-pool combinatorial barcoding method that simultaneously measures RNA and post-translational modifications (PTMs) in fixed single cells from 3D solid-tumour models. SIGNAL-seq PTM measurements are equivalent to mass cytometry and RNA gene detection is analogous to split-pool barcoding scRNA-seq. By measuring both mRNA ligand-receptor pairs and PTMs in single cells, SIGNAL-seq simultaneously reveals both inter- and intra-cellular signalling in tumour microenvironment organoids.
 
Overall design HELA spheroids were grown in 96-well Eplasia plates for 48 hours in DMEM high-glucose with supplemented with 2 mM L-Glutamine and 10% FBS. Spheroids were serum starved for 4hrs and pre-treated with inhibitors 100nM Trametinib and 500nM GDC0941 Pictilisib or vehicle (DMSO) for 10 minutes prior to growth factor treatment. Spheroids were then treated for 30 minutes with 100nM Human IGF1 and 100nM Human EGF or vehicle (water) before fixation in-situ. Spheroids were fixed in-situ using an adapted SPLiT-seq protocol and dispersed by mechanical dissociation using a TissueGrinder. Single-cells were permeabilised using an adapted SPLiT-seq protocol and frozen before processing with SIGNAL-seq. The RNA and ADT libraries were sequenced separately. Further information on the SIGNAL-seq barcoding layout and processed data can be found at: https://github.com/TAPE-Lab/SIGNAL-seq
 
Contributor(s) Opzoomer JW, O'Sullivan R, Sufi J, Madsen R, Qin X, Basiarz E, Tape CJ
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Feb 22, 2024
Last update date Feb 24, 2024
Contact name James Opzoomer
Organization name University College London
Department Department of Oncology
Lab Cell Communication Lab
Street address 72 Huntley Street
City London
ZIP/Postal code WC1E 6DD
Country United Kingdom
 
Platforms (2)
GPL15520 Illumina MiSeq (Homo sapiens)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (2)
GSM8097127 SIGNAL-seq RNA library of HeLa spheroid cells
GSM8097128 SIGNAL-seq ADT library of HeLa spheroid cells
This SubSeries is part of SuperSeries:
GSE256405 SIGNAL-seq: Multimodal Single-cell Inter- and Intra-cellular Signalling Analysis
Relations
BioProject PRJNA1079357

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
GSE256403_ex0003_adt_feature_reference.csv.gz 908 b (ftp)(http) CSV
GSE256403_ex0003_hela_adt_adata.h5ad.gz 128.1 Kb (ftp)(http) H5AD
GSE256403_ex0003_hela_rna_adata.h5ad.gz 28.5 Mb (ftp)(http) H5AD
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap