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| Status |
Public on Jul 20, 2021 |
| Title |
The impact of maternal age on trophectoderm gene expression profiles in human. |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
Ageing is a crucial factor that affects embryonic development and implantation. Maternal age has an impact on the blastocyst's gene expression levels from the fertilised oocyte and throughout the development of the preimplantation embryo.
The current study reported differential gene expression analysis among trophectoderm samples that derived from young maternal age women (YMA - below 30 years), intermediate maternal age (IMA - 30-39 years old) and advanced maternal age women (AMA - at least 40 years old). The molecular approach was assayed by a low-input next generation RNA sequencing approach.
Hundreds of significantly differentially expressed transcripts were reported. Extracellular exosome-related transcripts were significantly higher in the trophectoderm cells that derived from young women. According to our analysis, several important transcripts were reported.
These molecular biomarkers may have a potential role in embryonic-endometrial communication and could be used in a diagnostic setting, that could help to improve the blastocyst implantation potential.
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| Overall design |
Trophectoderm cells from 32 blastocysts were biopsied (15 women). Comparisons in trophectoderm transcriptome patterns were made between blastocysts derived from YMA, IMA and AMA groups. A biological age component was determined mainly in the IMA group, with several IMA samples better clustered in the YMA or AMA groups.
This resulted in defining a new classification of reproductive biological maternal age, that includes rba-YMA, rba-IMA and rba-AMA groups.
The aim was to determine the trophectoderm transcriptome patterns associated with young women and successful implantation using an ultra low-input RNA-Seq approach tailored with the appropriate bioinformatics analysis in the context of the receptive endometrium. All samples were collected under full ethical approval.
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| Contributor(s) |
Ntostis P, Kokkali G, Iles D, Huntriss J, Tzetis M, Krawetz S, Picton H, Pantos K, Swanson G, Miller D |
| Citation(s) |
34278260 |
| Submission date |
Jul 01, 2019 |
| Last update date |
Jul 21, 2021 |
| Contact name |
Panagiotis Ntostis |
| Organization name |
University of Leeds
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| Department |
Medicine and Health
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| Lab |
LICAMM
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| Street address |
Clarendon Way
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| City |
Leeds |
| ZIP/Postal code |
LS2 9JT |
| Country |
United Kingdom |
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| Platforms (1) |
| GPL21290 |
Illumina HiSeq 3000 (Homo sapiens) |
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| Samples (32)
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| Relations |
| BioProject |
PRJNA552015 |
| SRA |
SRP212681 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE133592_Trophectoderm_GEO_refSeq_submission.xlsx |
8.3 Mb |
(ftp)(http) |
XLSX |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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