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Series GSE186402 Query DataSets for GSE186402
Status Public on Oct 25, 2021
Title Decoding Expression Dynamics of Protein and Transcriptome at the Single Cell Level through Multi-Omics Sequencing in Paired Picoliter Chambers
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Simultaneous analysis of mRNAs and proteins at the single-cell level provides information about the dynamics and correlations of gene and protein expressions in individual cells, enabling comprehensive study of cellular heterogeneity and expression patterns. Here, we present a platform for high-throughput cellular indexing of mRNAs and proteins, named multi-Paired-seq, with high cell utilization, accurate molecular measurement and low cost. Based on hydrodynamic differential flow resistance, multi-Paired-seq largely improves cell utilization (>95%). Combined with pump/valve structure, cell-free antibodies and mRNAs can be removed completely for highly accurate detection. The picoliter reaction chambers allow higher detection sensitivity and lower sequencing cost. By using multi-Paired-seq, more elaborate classifications of breast cancers are identified according to multimodal measurements, and the expression correlations between mRNAs and proteins under altered conditions are quantified. Multi-Paired-seq provides multi-modal measurements at the single cell level, which offers a new tool for cell biology, developmental biology, drug discovery and precision medicine.
Overall design mRNA profiles of different cancer cell lines.
Contributor(s) Xu X, Zhang M, Zhang X, Yang C
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Submission date Oct 22, 2021
Last update date Oct 26, 2021
Contact name Xing Xu
Phone 086-18850013503
Organization name Xiamen University
Street address 422 Road, Siming District, Xiamen, China
City Xiamen
State/province Fujian
ZIP/Postal code 361005
Country China
Platforms (2)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
GPL19415 Illumina NextSeq 500 (Homo sapiens; Mus musculus)
Samples (19)
GSM5651031 4T1-MCF7 mixed multi-omics sample RNA
GSM5651032 4T1-MCF7 mixed multi-omics sample protein
GSM5651033 4T1-MCF7 mixed single-omics sample RNA
BioProject PRJNA773743
SRA SRP342705

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
GSE186402_RAW.tar 19.1 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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