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
B cell receptor recognition by tickborne Neoehrlichia mikurensis: Analysis of the heavy chain repertoire and implications for the pathogenesis of B-cell lymphoma
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]

Neoehrlichia mikurensis is a bacterium transmitted to humans by tick bites, usually from Ixodes ricinus species, causing an infection known as neoehrlichiosis. The importance of B cells in host defence against this infection has previously been demonstrated in patients undergoing anti-B cell therapy for lymphoma. As a causal relationship between N. mikurensis and malignant B-cell lymphomas has not yet been established, the identification of a genetic signature caused by the infection would be a step forward in the development of therapeutics. Findings have been published on the heavy chain repertoire of the major B-cell clonotypes of N. mikurensis-positive lymphoma patients, and it is essential to gain a deeper understanding of the broader heavy chain repertoire. That can be achieved by analysing other aspects such as VDJ gene frequency, somatic hypermutations in complementarity determining regions (CDRs) and framework regions (FWRs) of the variable domain, and the physicochemical properties of the H-CDR3 repertoire, the latter being the most hypervariable part of the heavy chain and a major determinant of its specificity. Specifically, eight infected lymphoma patients were analysed for these variables. In short, the analysis of the results separates the data into at least two distinct groups of patients studied. It was also possible to group the patients by integrating the data into heatmap representations that clustered the patients in an unsupervised manner based on the use of IGHV, IGHD and IGHJ gene frequencies and the physicochemical properties of H-CDR3. Interestingly, this correlated closely with the lymphoma classifications of the patients infected with N. mikurensis. Although the sample size is not very large, and work is currently being to recruit more patients and controls, these results are promising as not only may there be an underlying signature related to the infection, but they may also help to separate the heavy chain repertoire data into groups, which in turn may help to diagnose lymphoma patients more accurately and perhaps more quickly and find the right treatment from the outset. 

Place, publisher, year, edition, pages
2024. , p. 29
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:his:diva-24275OAI: oai:DiVA.org:his-24275DiVA, id: diva2:1883044
External cooperation
University of Gothenburg, Sahlgrenska University Hospital
Subject / course
Systems Biology
Educational program
Infection Biology - Master’s Programme 120 ECTS
Supervisors
Examiners
Available from: 2024-07-08 Created: 2024-07-08 Last updated: 2025-09-29Bibliographically approved

Open Access in DiVA

fulltext(2600 kB)223 downloads
File information
File name FULLTEXT01.pdfFile size 2600 kBChecksum SHA-512
36d836e9e16968d693e0f3c38491d4b1b3c969d5b494a175463013f45b9b0d2b1cd7d142f09e110fa76a63de5bc7a64b81fd4a280885d5ee708cbb71468f2dd2
Type fulltextMimetype application/pdf

By organisation
School of Bioscience
Bioinformatics and Computational Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 224 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: 803 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