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Series GSE174502 Query DataSets for GSE174502
Status Public on May 17, 2021
Title RNA Sequencing Facilitates Quantitative Analysis of Transcriptomes of adipose stem cells from diabetic, old and young patients
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Non-coding RNA profiling by high throughput sequencing
Summary Purpose: Whole-transcriptome sequencing technology and bioinformatics analysis were applied to systematically analyze the differentially expressed mRNAs, lncRNAs, circRNAs and miRNAs in adipose stem cells (ASCs) from diabetic, old and young patients.
Methods: MRNAs, lncRNAs and cirRNAs profiles of adipose stem cells were generated by RNA sequencing, in triplicate, using Illumina HiSeq X Ten . MiRNAs profiles of adipose stem cells were generated by RNA sequencing, in triplicate, using BGISEQ-500. The sequence reads that passed quality filters were analyzed at the transcript isoform level by using sequence analysis programs, including HISAT, Stringtie, CIRI, find_circ and DESeq. qRT–PCR validation was performed using Takara, Vazyme and Clontech kits.
Results: The data showed that 1377 mRNAs, 5353 circRNAs, 932 lncRNAs and 85 miRNAs were significantly differently expressed in adipose stem cells from old patients compared with young patients, with a fold change ≥2 or ≤ -2 and q value <0.001. The data showed that 1878 mRNAs, 22988 circRNAs, 2638 lncRNAs and 122 miRNAs were significantly differently expressed (DE) in adipose stem cells from old patients compared with diabetic patients, with a fold change ≥2 or ≤ -2 and q value <0.001. The results of qRT-PCR confirmed 25 mRNAs, 9 lncRNAs, 8 circRNAs and 13 miRNAs which were consistent with the RNA-seq data. GO and KEGG analyses demonstrated DE mRNAs were significantly enriched in aging and cell senescence terms separately.
Conclusion: Our group simultaneously examined the changing expression of miRNAs, mRNAs, lncRNAs and circRNAs in ASCs associated with diabetes and aging. GO and KEGG pathway analyses were conducted to annotate the possible function of the differentially expressed mRNAs. PPI networks were established in order to find critical protein genes highly involved in our disease models. The ceRNA networks including lncRNA-miRNA-mRNA and cirRNA-miRNA-mRNA interactions were successfully constructed based on the bioinformatic analyses and PCR results. Thus, this study may contribute to our understanding of the underlying mechanisms of ASCs instability and provide novel targets to reverse the dysfunction of ASCs isolated from diabetic and old patients.
 
Overall design MRNAs, lncRNAs, circRNAs and miRNAs profiles of adipose stem cells from diabetic, old and young patients were generated by RNA sequencing.
 
Contributor(s) Ren S, Xiong H, Chen J
Citation(s) 38017497
Submission date May 16, 2021
Last update date Dec 13, 2023
Contact name sen ren
E-mail(s) rensen@hust.edu.cn
Phone 86-15527529152
Organization name wuhan union hospital
Street address jiefang road
City wuhan
State/province hubei
ZIP/Postal code 430030
Country China
 
Platforms (2)
GPL20795 HiSeq X Ten (Homo sapiens)
GPL23227 BGISEQ-500 (Homo sapiens)
Samples (18)
GSM5316439 Diabetic ASC1_sRNA
GSM5316441 Diabetic ASC2_sRNA
GSM5316443 Diabetic ASC3_sRNA
Relations
BioProject PRJNA730290
SRA SRP319989

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Supplementary file Size Download File type/resource
GSE174502_lncRNA_gene_expression.xlsx 18.9 Mb (ftp)(http) XLSX
GSE174502_lncRNA_transcript_expression.xlsx 34.6 Mb (ftp)(http) XLSX
GSE174502_miRNA_expression.xlsx 195.1 Kb (ftp)(http) XLSX
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Processed data are available on Series record

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