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Epitopes of anti-RIFIN antibodies and characterization of rif-expressing Plasmodium falciparum parasites by RNA sequencing
KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi. KTH, Centra, Science for Life Laboratory, SciLifeLab.ORCID-id: 0000-0003-1242-0873
Visa övriga samt affilieringar
2017 (Engelska)Ingår i: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, artikel-id 43190Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Variable surface antigens of Plasmodium falciparum have been a major research focus since they facilitate parasite sequestration and give rise to deadly malaria complications. Coupled with its potential use as a vaccine candidate, the recent suggestion that the repetitive interspersed families of polypeptides (RIFINs) mediate blood group A rosetting and influence blood group distribution has raised the research profile of these adhesins. Nevertheless, detailed investigations into the functions of this highly diverse multigene family remain hampered by the limited number of validated reagents. In this study, we assess the specificities of three promising polyclonal anti-RIFIN antibodies that were IgG-purified from sera of immunized animals. Their epitope regions were mapped using a 175,000-peptide microarray holding overlapping peptides of the P. falciparum variable surface antigens. Through immunoblotting and immunofluorescence imaging, we show that different antibodies give varying results in different applications/assays. Finally, we authenticate the antibody-based detection of RIFINs in two previously uncharacterized non-rosetting parasite lines by identifying the dominant rif transcripts using RNA sequencing.

Ort, förlag, år, upplaga, sidor
Nature Publishing Group, 2017. Vol. 7, artikel-id 43190
Nationell ämneskategori
Medicinska och farmaceutiska grundvetenskaper
Identifikatorer
URN: urn:nbn:se:kth:diva-204077DOI: 10.1038/srep43190ISI: 000394930400001PubMedID: 28233866Scopus ID: 2-s2.0-85013755282OAI: oai:DiVA.org:kth-204077DiVA, id: diva2:1085479
Anmärkning

QC 20170329

Tillgänglig från: 2017-03-29 Skapad: 2017-03-29 Senast uppdaterad: 2018-01-13Bibliografiskt granskad
Ingår i avhandling
1. Array-based Autoantibody Profiling and Epitope Mapping
Öppna denna publikation i ny flik eller fönster >>Array-based Autoantibody Profiling and Epitope Mapping
2017 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Antibodies are a class of proteins that are made by the immune system to recognize harmful organisms and molecules. Their exceptional capability of specifically recognizing molecules has been investigated for over a century and information thereof has been utilized for a variety of applications including vaccine and generation of therapeutic antibodies. Occasionally, instead of protecting the host against pathogens, antibodies can recognize constituents of the host and thereby cause an autoimmune reaction that eventually can lead to a disease. Therefore, it is of great interest to understand what the antibodies bind to and their specificities.

 

The last decades of technical development and availability of protein and peptide microarrays have enabled large-scale profiling of antibodies and precise determination of their specificities through epitope mapping. In this thesis the aim was to use affinity proteomics tools to profile antibodies, determine their specificities, and discover potential associations of autoantigens to disease by analyzing blood-derived samples with microarray-based methods.

 

In Paper I, 57 serum samples from patients with the suggested autoimmune disease narcolepsy, were analyzed on planar antigen microarrays with 10,846 human protein fragments. Verification on an independent sample collection consisting of serum samples from 176 individuals, revealed METTL22 and NT5C1A as two potential autoantigens. In Paper II, antibodies from 53 plasma samples from patients with first-episode psychosis, a condition suggested to have a partial autoimmune component, were analyzed on planar antigen microarrays with 2,304 human protein fragments. After a follow-up study of the patients, antibodies toward an antigen representing the three proteins, PAGE2, PAGE2B, PAGE5, was found associated to an increased risk of developing schizophrenia. In Paper III, serum and plasma samples from patients with the autoimmune diseases multiple sclerosis and narcolepsy, were epitope mapped on high-density peptide microarrays with approximately 2.2 million peptides. Technical and biological verification, by using other microarray technology and analyzing  samples from 448 patients, revealed one peptide for multiple sclerosis and narcolepsy, representing the proteins MAP3K7 and NRXN1, with higher antibody reactivity towards in each group, respectively. In Paper IV, purified polyclonal antibodies raised against a surface antigen found on malaria-infected erythrocytes, were profiled on the peptide microarrays representing all proteins found on malaria-infected erythrocytes derived from Plasmodium falciparum. Then, different Plasmodium falciparum strains were analyzed by immunofluorescence microscopy and western blots, using the epitope mapped antibodies. The performance of the immunoassays were compared to the identified epitopes, and validated by RNA sequencing.

 

In conclusion, these investigations describe multiplex methods to identify and characterize antibodies, their disease association and epitopes. Follow-up studies are needed to determine their potential use and clinical value.

Ort, förlag, år, upplaga, sidor
Stockholm: KTH Royal Institute of Technology, 2017. s. 89
Serie
TRITA-BIO-Report, ISSN 1654-2312 ; 2017:19
Nyckelord
antibody, antigens, peptide, epitope mapping, autoimmunity, autoantibodies, microarrays
Nationell ämneskategori
Medicinsk bioteknik
Forskningsämne
Bioteknologi
Identifikatorer
urn:nbn:se:kth:diva-213689 (URN)978-91-7729-499-3 (ISBN)
Disputation
2017-10-06, Air & Fire, Tomtebodavägen 23A, Solna, 10:00 (Engelska)
Opponent
Handledare
Anmärkning

QC 20170905

Tillgänglig från: 2017-09-05 Skapad: 2017-09-04 Senast uppdaterad: 2017-09-05Bibliografiskt granskad

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Zandian, ArashNilsson, PeterQundos, Ulrika
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Proteomik och nanobioteknologiScience for Life Laboratory, SciLifeLab
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