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Series GSE180948 Query DataSets for GSE180948
Status Public on Jul 23, 2024
Title RNA-Seq based transcriptome analysis of colorectal cancer cells in response to lactate treatment
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Recently, the presence of lactate in colorectal cancer (CRC) has been rediscovered as crucial signalling molecule which plays key roles in the regulation of the metabolic pathways, the immune response, and cell-to-cell communication within the tumour microenvironment. We here report the RNA-Seq based transcriptome analysis of DLD1 and SW480 cells in response to lactate treatment. By a number of statistical tests, a series of genes were statistically significant, indicating a gene set profoundly responded to lactate in CRC. To unveil the molecular mechanism associated with the effects of lactate on CRC development and progress, these genes were annotated using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional enrichment analyses. Our data demonstrate that targeting lactate metabolism and transport represents a promising approach for CRC therapeutics.
 
Overall design Examination of transcriptome in 2 CRC cell lines. For each cell line, 6 samples are analyzed RNA sequencing (3 biological replicates for control samples and 3 biological replicates for lactate treated samples).
 
Contributor(s) Liu H, Kang L
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Submission date Jul 27, 2021
Last update date Jul 23, 2024
Contact name Hua-shan Liu
E-mail(s) liuhshan@mail2.sysu.edu.cn
Organization name The Sixth Affiliated Hospital, Sun Yat-sen University
Department Department of Colorectal Surgery
Street address 26 Yuancun Erheng Road
City Guangzhou
State/province Guangdong
ZIP/Postal code 510655
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (12)
GSM5479123 SW480_NC_1
GSM5479125 SW480_NC_2
GSM5479127 SW480_NC_3
Relations
BioProject PRJNA750094
SRA SRP330082

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE180948_All.counts.txt.gz 616.8 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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