Högskolan i Skövde

his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Prediction of hub miRNAs and their associated pathways in diffuse large B-cell lymphoma using bioinformatic tools
University of Skövde, School of Bioscience.
2024 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Diffuse large B-cell lymphoma is a common non-Hodgkin lymphoma and covers about one third of global non-Hodgkin lymphoma cases each year. The lymphoma is characterised by B-cells with large nuclei which makes the cells unable to function normally as a part of the immune response. MicroRNAs, which are small noncoding RNA, can be used as biomarkers for the diagnosis, prognosis and treatment in many different diseases. However, the pathways regulated by microRNAs in connection to diffuse large B-cell lymphoma are not well understood. The aim of this study was to find hub microRNAs and their pathways in diffuse large B-cell lymphoma. This was done by identifying differentially expressed microRNAs, finding their target genes and building networks of the microRNAs and their targets. Gene ontology terms and KEGG pathways were identified for each network. This study found three microRNA hubs hsa-let-7f-1-3p, hsa-miR-200c-3p, and hsa-miR-507. Each of them has been shown to regulate tumours in other cancer types though they have not been connected to diffuse large B-cell lymphoma before. The target genes have also been found to play central roles in general tumour formation. This study found that known tumour suppressor genes were down-regulated while genes that aided in tumour formation were up-regulated. The gene ontology analysis showed that many of the target genes take part in the normal development of the human body, but the KEGG pathways were concentrated around cancer formation. The microRNAs show promise as prognostic markers and targets for developing treatments.

Place, publisher, year, edition, pages
2024. , p. 26
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:his:diva-24393OAI: oai:DiVA.org:his-24393DiVA, id: diva2:1884575
Subject / course
Systems Biology
Educational program
Infection Biology - Master’s Programme 120 ECTS
Supervisors
Examiners
Available from: 2024-07-17 Created: 2024-07-17 Last updated: 2025-09-29Bibliographically approved

Open Access in DiVA

fulltext(957 kB)186 downloads
File information
File name FULLTEXT01.pdfFile size 957 kBChecksum SHA-512
61277cff4dfaf8d05833be569eb872a46bbf5588c5b7b5947d463167fa87170c78f7e69b2d28f92aefbf1f412e28de2e77903dddd210abe8284fe5ebab396e8e
Type fulltextMimetype application/pdf

By organisation
School of Bioscience
Bioinformatics and Computational Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 188 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 456 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf