Construction of recombinant plasmid coding Borrelia burgdorferi sl B12 protein - Open Research Data - Bridge of Knowledge

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Construction of recombinant plasmid coding Borrelia burgdorferi sl B12 protein

Description

Diagnosis of Lyme borreliosis (LB), an infection caused by spirochaetes of the B. burgdorferi sl species complex, is mainly based on clinical symptoms supported with serology and is often misdiagnosed in areas of endemicity. The complexity of the antigenic composition among the Borrelia genospecies and differential expression of proteins in host and vector (temporal and spatial antigenic variability) has posed challenges for the serodiagnosis of LB. Despite numerous efforts, little is still known about proteins or their fragments which are conserved for all pathogenic genospecies and can be used in the detection of specific immunoglobulins from human serum samples. Therefore, the correct serodiagnosis of this disease still faces many difficulties. For this reason, it is extremely important to conduct basic research aimed at selecting, obtaining and testing the antigenic properties of new forms of recombinant proteins. Thus, the essence of the problem that we intend to solve is to ascertain whether it is possible to obtain new variants of B. burgdorferi sl recombinant proteins which have significant antigenic properties and may detect immunoglobulins from patients’ sera with Lyme disease that may be infected with different genospecies of B. burgdorferi sl. This dataset contains data regarding the construction of a recombinant plasmid coding a Borrelia burgdorferii sl protein named  "B12".

Data includes the methodology, cloning diagrams, primer sequences and nucleotide sequence of the obtained recombinant plasmids.

This research was funded by the National Science Centre, Poland, under the research project no. 2023/49/B/NZ6/02881

Dataset file

B12.zip
1.1 MB, S3 ETag 085127985de369f342d4879e852338ae-1, downloads: 1
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File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution
File embargo:
2025-03-12

Details

Year of publication:
2024
Verification date:
2024-12-31
Dataset language:
English
Fields of science:
  • chemical sciences (Natural sciences)
  • health sciences (Medical and Health Sciences )
DOI:
DOI ID 10.34808/2cxp-e529 open in new tab
Funding:
Series:
Verified by:
Gdańsk University of Technology

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