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A data browsing application for accessing gene and module-level blood transcriptome profiles of healthy pregnant women from high- and low-resource settings.
Rinchai, Darawan; Brummaier, Tobias; A Marr, Alexandra; Habib, Tanwir; Toufiq, Mohammed; Kino, Tomoshigue; Nosten, François; Al Khodor, Souhaila; Terranegra, Annalisa; McGready, Rose; Kabeer, Basirudeen Syed Ahamed; Chaussabel, Damien.
Afiliación
  • Rinchai D; Research Branch, Sidra Medicine, Al Gharrafa St, Doha 26999, Qatar.
  • Brummaier T; Department of Infectious Diseases, St Jude's Children Research Hospital, 262 Danny Thomas Pl, Memphis, TN 38105, USA.
  • A Marr A; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 78, 1, Mae Ramat 63140, Thailand.
  • Habib T; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, New Richards Building, Roosevelt Dr, Oxford OX3 7BN, UK.
  • Toufiq M; Swiss Tropical and Public Health Institute, Basel 4123, Switzerland.
  • Kino T; Faculty of Medicine, University of Basel, Basel 4001, Switzerland.
  • Nosten F; Research Branch, Sidra Medicine, Al Gharrafa St, Doha 26999, Qatar.
  • Al Khodor S; Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha 24144, Qatar.
  • Terranegra A; The Jackson Laboratory for Genomic Medicine, 10, Discovery Dr, Farmington, CT 06032, USA.
  • McGready R; Research Branch, Sidra Medicine, Al Gharrafa St, Doha 26999, Qatar.
  • Kabeer BSA; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, 78, 1, Mae Ramat 63140, Thailand.
  • Chaussabel D; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, New Richards Building, Roosevelt Dr, Oxford OX3 7BN, UK.
Database (Oxford) ; 20242024 Apr 02.
Article en En | MEDLINE | ID: mdl-38564425
ABSTRACT
Transcriptome profiling data, generated via RNA sequencing, are commonly deposited in public repositories. However, these data may not be easily accessible or usable by many researchers. To enhance data reuse, we present well-annotated, partially analyzed data via a user-friendly web application. This project involved transcriptome profiling of blood samples from 15 healthy pregnant women in a low-resource setting, taken at 6 consecutive time points beginning from the first trimester. Additional blood transcriptome profiles were retrieved from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) public repository, representing a cohort of healthy pregnant women from a high-resource setting. We analyzed these datasets using the fixed BloodGen3 module repertoire. We deployed a web application, accessible at https//thejacksonlaboratory.shinyapps.io/BloodGen3_Pregnancy/which displays the module-level analysis results from both original and public pregnancy blood transcriptome datasets. Users can create custom fingerprint grid and heatmap representations via various navigation options, useful for reports and manuscript preparation. The web application serves as a standalone resource for exploring blood transcript abundance changes during pregnancy. Alternatively, users can integrate it with similar applications developed for earlier publications to analyze transcript abundance changes of a given BloodGen3 signature across a range of disease cohorts. Database URL https//thejacksonlaboratory.shinyapps.io/BloodGen3_Pregnancy/.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Mujeres Embarazadas / Transcriptoma Límite: Female / Humans / Pregnancy Idioma: En Revista: Database (Oxford) Año: 2024 Tipo del documento: Article País de afiliación: Qatar

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Mujeres Embarazadas / Transcriptoma Límite: Female / Humans / Pregnancy Idioma: En Revista: Database (Oxford) Año: 2024 Tipo del documento: Article País de afiliación: Qatar