The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases

<h3>Objective</h3> <p>Analysis of gene expression and methylation patterns in preterm births (PTB) and associated diseases from microarray data using the Gene Expression Omnibus (GEO) database. We hypothesise that reported upregulation/downregulation of expression patterns is assoc...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tala Abuarja (17075070) (author)
مؤلفون آخرون: Reem B. AlNasr (17075082) (author), Thomas Farrell (3933833) (author), Palli Valapila Abdulrouf (11619462) (author), Nader Al‐Dewik (14777014) (author)
منشور في: 2023
الموضوعات:
الوسوم: إضافة وسم
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_version_ 1864513557833449472
author Tala Abuarja (17075070)
author2 Reem B. AlNasr (17075082)
Thomas Farrell (3933833)
Palli Valapila Abdulrouf (11619462)
Nader Al‐Dewik (14777014)
author2_role author
author
author
author
author_facet Tala Abuarja (17075070)
Reem B. AlNasr (17075082)
Thomas Farrell (3933833)
Palli Valapila Abdulrouf (11619462)
Nader Al‐Dewik (14777014)
author_role author
dc.creator.none.fl_str_mv Tala Abuarja (17075070)
Reem B. AlNasr (17075082)
Thomas Farrell (3933833)
Palli Valapila Abdulrouf (11619462)
Nader Al‐Dewik (14777014)
dc.date.none.fl_str_mv 2023-10-12T10:12:36Z
dc.identifier.none.fl_str_mv 10.57945/manara.24225433.v1
dc.relation.none.fl_str_mv https://figshare.com/articles/poster/The_Use_of_the_Gene_Expression_Omnibus_GEO_Database_to_Study_Gene_Expression_and_Methylation_Patterns_in_Cases_of_Preterm_Birth_and_Associated_Diseases/24225433
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Genetics
GEO
Preterm birth (PTB)
Full-term birth (FTB)
gene
expression
microarray analysis
dc.title.none.fl_str_mv The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
dc.type.none.fl_str_mv Image
Poster
info:eu-repo/semantics/publishedVersion
image
description <h3>Objective</h3> <p>Analysis of gene expression and methylation patterns in preterm births (PTB) and associated diseases from microarray data using the Gene Expression Omnibus (GEO) database. We hypothesise that reported upregulation/downregulation of expression patterns is associated with cases of PTB.</p> <h3>Design</h3> <p>This is a retrospective study done to observe any reported significant changes in gene expression or methylation patterns between PTB, associated diseases, and full-term births (FTB).</p> <h3>Methods</h3> <p>Eight comparative studies on PTB were analysed where cases of FTB were used as controls (GSE178609, GSE48125, GSE197795, GSE190215, GSE150167, GSE166956, GSE188949, GSE225881). Upon accessing the GEO database, cases (PTB) and controls (FTB) were highlighted, and analysis of the data performed. The data was then filtered for statistically significant changes with an adjusted p-value of <0.05 and log fold changes (logFC) ≥1 or ≤-1. Remaining genes after filtering were studied for function and potential relevance to causes of PTB and associated diseases.</p> <h3>Results</h3> <p>Of the 8 datasets, 3 displayed significant changes in expression patterns after application of the filtering criteria. Firstly, the study analysing profiles of umbilical cord exosomes in PTB vs FTB with bronchopulmonary dysplasia (BPD) (GSE190215) showed downregulation in expression of genes in PTB linked to lung function including ciliary function (CFAP61), respiratory insufficiency (CLCN6), and thoracic dysplasia (MORN1). Analysis of the amniotic fluid cell-free transcriptome in spontaneous PTB (GSE166956) showed upregulation of various genes associated with inflammatory processes including IL1A, JAML, SRGN, NFKB, and NAMPT. Finally, the dataset comparing methylation profiles in PTB cases with and without BPD (GSE188949) displayed hypomethylation in cases with no BPD in genes ACP5, linked to lung fibrosis, and STK11IP, associated with lung carcinoma. Hypermethylation of CSTA, identified in lung cancer, was also reported.</p> <h3>Conclusion</h3> <p>The utilization of GEO to analyse gene expression and methylation patterns in cases of PTB and associated diseases has linked various significant genes in potentially impacting such cases. Despite this work being preliminary, it displays a promising avenue of research and through further analysis of multiple datasets can allow for further understanding of the genetic aetiology of PTB. Future work could be done through further understanding of the relevant genes’ function and their pathways and strengthening the validity of the expression patterns in promoting PTB by determining any overlap between the different datasets submitted.</p>
eu_rights_str_mv openAccess
id Manara2_f4ef3d19aecbdb79e9ad7442786f6965
identifier_str_mv 10.57945/manara.24225433.v1
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/24225433
publishDate 2023
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repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated DiseasesTala Abuarja (17075070)Reem B. AlNasr (17075082)Thomas Farrell (3933833)Palli Valapila Abdulrouf (11619462)Nader Al‐Dewik (14777014)Biological sciencesGeneticsGEOPreterm birth (PTB)Full-term birth (FTB)geneexpressionmicroarray analysis<h3>Objective</h3> <p>Analysis of gene expression and methylation patterns in preterm births (PTB) and associated diseases from microarray data using the Gene Expression Omnibus (GEO) database. We hypothesise that reported upregulation/downregulation of expression patterns is associated with cases of PTB.</p> <h3>Design</h3> <p>This is a retrospective study done to observe any reported significant changes in gene expression or methylation patterns between PTB, associated diseases, and full-term births (FTB).</p> <h3>Methods</h3> <p>Eight comparative studies on PTB were analysed where cases of FTB were used as controls (GSE178609, GSE48125, GSE197795, GSE190215, GSE150167, GSE166956, GSE188949, GSE225881). Upon accessing the GEO database, cases (PTB) and controls (FTB) were highlighted, and analysis of the data performed. The data was then filtered for statistically significant changes with an adjusted p-value of <0.05 and log fold changes (logFC) ≥1 or ≤-1. Remaining genes after filtering were studied for function and potential relevance to causes of PTB and associated diseases.</p> <h3>Results</h3> <p>Of the 8 datasets, 3 displayed significant changes in expression patterns after application of the filtering criteria. Firstly, the study analysing profiles of umbilical cord exosomes in PTB vs FTB with bronchopulmonary dysplasia (BPD) (GSE190215) showed downregulation in expression of genes in PTB linked to lung function including ciliary function (CFAP61), respiratory insufficiency (CLCN6), and thoracic dysplasia (MORN1). Analysis of the amniotic fluid cell-free transcriptome in spontaneous PTB (GSE166956) showed upregulation of various genes associated with inflammatory processes including IL1A, JAML, SRGN, NFKB, and NAMPT. Finally, the dataset comparing methylation profiles in PTB cases with and without BPD (GSE188949) displayed hypomethylation in cases with no BPD in genes ACP5, linked to lung fibrosis, and STK11IP, associated with lung carcinoma. Hypermethylation of CSTA, identified in lung cancer, was also reported.</p> <h3>Conclusion</h3> <p>The utilization of GEO to analyse gene expression and methylation patterns in cases of PTB and associated diseases has linked various significant genes in potentially impacting such cases. Despite this work being preliminary, it displays a promising avenue of research and through further analysis of multiple datasets can allow for further understanding of the genetic aetiology of PTB. Future work could be done through further understanding of the relevant genes’ function and their pathways and strengthening the validity of the expression patterns in promoting PTB by determining any overlap between the different datasets submitted.</p>2023-10-12T10:12:36ZImagePosterinfo:eu-repo/semantics/publishedVersionimage10.57945/manara.24225433.v1https://figshare.com/articles/poster/The_Use_of_the_Gene_Expression_Omnibus_GEO_Database_to_Study_Gene_Expression_and_Methylation_Patterns_in_Cases_of_Preterm_Birth_and_Associated_Diseases/24225433CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/242254332023-10-12T10:12:36Z
spellingShingle The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
Tala Abuarja (17075070)
Biological sciences
Genetics
GEO
Preterm birth (PTB)
Full-term birth (FTB)
gene
expression
microarray analysis
status_str publishedVersion
title The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
title_full The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
title_fullStr The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
title_full_unstemmed The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
title_short The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
title_sort The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases
topic Biological sciences
Genetics
GEO
Preterm birth (PTB)
Full-term birth (FTB)
gene
expression
microarray analysis