Igor Snapkov

Igor Snapkov
Norwegian Institute of Public Health · Department of Chemical toxicology

MD, PhD

About

31
Publications
4,710
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255
Citations
Additional affiliations
November 2011 - May 2016
UiT The Arctic University of Norway
Position
  • PhD Student

Publications

Publications (31)
Article
Full-text available
Generative machine learning (ML) has been postulated to become a major driver in the computational design of antigen-specific monoclonal antibodies (mAb). However, efforts to confirm this hypothesis have been hindered by the infeasibility of testing arbitrarily large numbers of antibody sequences for their most critical design parameters: paratope,...
Preprint
Full-text available
B- and T-cell receptor (immune) repertoires can represent an individual's immune history. While current repertoire analysis methods aim to discriminate between health and disease states, they are typically based on only a limited number of parameters (e.g., clonal diversity, germline usage). Here, we introduce immuneREF: a quantitative multi-dimens...
Article
The process of recombination between variable (V), diversity (D), and joining (J) immunoglobulin (Ig) gene segments determines an individual's naive Ig repertoire and, consequently, (auto)antigen recognition. VDJ recombination follows prob-abilistic rules that can be modeled statistically. So far, it remains unknown whether VDJ recombination rules...
Article
Full-text available
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an ideal approach for AIRR-based diagnostic and therapeutic discovery. So far, widespread adoption of AIR...
Article
Full-text available
Humoral immunity is divided into the cellular B cell and protein-level antibody responses. High-throughput sequencing has advanced our understanding of both these fundamental aspects of B cell immunology as well as aspects pertaining to vaccine and therapeutics biotechnology. Although the protein-level serum and mucosal antibody repertoire make maj...
Article
Full-text available
Epithelial ovarian cancer (EOC) has a 5-year relative survival of 50%, partly because markers of early-stage disease are not available in current clinical diagnostics. The aim of the present study was to investigate whether EOC is associated with transcriptional profiles in blood collected up to 7 years before diagnosis. For this, we used RNA-stabi...
Article
Full-text available
Previous studies have indicated a synergistic effect between radiotherapy and immunotherapy. A better understanding of how this combination affects the immune system can help to clarify its role in the treatment of metastatic cancer. We performed T cell receptor (TCR) sequencing on 46 sequentially collected samples from 15 patients with stage IV no...
Preprint
Full-text available
Generative machine learning (ML) has been postulated to be a major driver in the computational design of antigen-specific monoclonal antibodies (mAb). However, efforts to confirm this hypothesis have been hindered by the infeasibility of testing arbitrarily large numbers of antibody sequences for their most critical design parameters: paratope, epi...
Preprint
Full-text available
Machine learning (ML) is a key technology to enable accurate prediction of antibody-antigen binding, a prerequisite for in silico vaccine and antibody design. Two orthogonal problems hinder the current application of ML to antibody-specificity prediction and the benchmarking thereof: (i) The lack of a unified formalized mapping of immunological ant...
Preprint
The process of recombination between variable (V), diversity (D), and joining (J) immunoglobulin (Ig) gene segments determines an individual's naïve Ig repertoire, and consequently (auto)antigen recognition. VDJ recombination follows probabilistic rules that can be modeled statistically. So far, it remains unknown whether VDJ recombination rules di...
Article
Full-text available
Antibody-antigen binding relies on the specific interaction of amino acids at the paratope-epitope interface. The predictability of antibody-antigen binding is a prerequisite for de novo antibody and (neo-)epitope design. A fundamental premise for the predictability of antibody-antigen binding is the existence of paratope-epitope interaction motifs...
Article
Full-text available
It is increasingly clear that an extraordinarily diverse range of clinically important conditions—including infections, vaccinations, autoimmune diseases, transplants, transfusion reactions, aging, and cancers—leave telltale signatures in the millions of V(D)J-rearranged antibody and T cell receptor [TR per the Human Genome Organization (HUGO) nome...
Preprint
Full-text available
Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an ideal approach for AIRR-based diagnostic and therapeutic discovery. To date, widespread adoption of AI...
Article
Full-text available
B- and T-cell receptor repertoires of the adaptive immune system have become a key target for diagnostics and therapeutics research. Consequently, there is a rapidly growing number of bioinformatics tools for immune repertoire analysis. Benchmarking of such tools is crucial for ensuring reproducible and generalizable computational analyses. Current...
Preprint
Full-text available
Antibody recognition of antigen relies on the specific interaction of amino acids at the paratope-epitope interface. A long-standing question in the fields of immunology and structural biology is whether paratope-epitope interaction is predictable. A fundamental premise for the predictability of paratope-epitope binding is the existence of structur...
Preprint
Full-text available
B- and T-cell receptor repertoires of the adaptive immune system have become a key target for diagnostics and therapeutics research. Consequently, there is a rapidly growing number of bioinformatics tools for immune repertoire analysis. Benchmarking of such tools is crucial for ensuring reproducible and generalizable computational analyses. Current...
Article
Full-text available
The adaptive immune system is a natural diagnostic sensor and therapeutic. It recognizes threats earlier than clinical symptoms manifest and neutralizes antigens with exquisite specificity. Recognition specificity and broad reactivity are enabled via adaptive B- and T-cell receptors: the immune receptor repertoire. The human immune system, however,...
Preprint
Full-text available
The adaptive immune system is a natural diagnostic and therapeutic. It recognizes threats earlier than clinical symptoms manifest and neutralizes antigen with exquisite specificity. Recognition specificity and broad reactivity is enabled via adaptive B- and T-cell receptors: the immune receptor repertoire. The human immune system, however, is not o...
Article
Full-text available
Background There is a large body of evidence demonstrating long-lasting protective effect of each full-term pregnancy (FTP) on the development of breast cancer (BC) later in life, a phenomenon that could be related to both hormonal and immunological changes during pregnancies. In this work, we studied the pregnancy-associated differences in periphe...
Article
Full-text available
Pro-inflammatory cells, cytokines, and chemokines are essential in promoting a tumor supporting microenvironment. Chemerin is a chemotactic protein and a natural ligand for the receptors CMKLR1, GPR1, and CCRL2. The chemerin/CMKLR1 axis is involved in immunity and inflammation, and it has also been implicated in obesity and cancer. In neuroblastoma...
Article
Full-text available
In both septic and aseptic inflammation, N-formyl peptides may enter the circulation and induce a systemic inflammatory response syndrome similar to that observed during septic shock. The inflammatory response is brought about by the binding of N-formyl peptide to formyl peptide receptors (FPRs), specific signaling receptors expressed on myeloid as...
Data
Complete WB membranes and PCR gels images for Fig 3. (A) Complete PCR gel representing human data for Fig 3. Lanes 1, 2 and 3 correspond to hHeps, hLSECs and human liver respectively. Lanes 4 are no template controls. (B) Complete PCR gel representing mouse data for Fig 3. Lanes 1, 2 and 3 correspond to mHeps, mLSECs and mouse liver respectively. L...
Article
Full-text available
Background Formyl peptide receptor 1 (FPR1) is a G protein-coupled receptor mainly expressed by the cells of myeloid origin, where it mediates the innate immune response to bacterial formylated peptides. High expression of FPR1 has been detected in various cancers but the function of FPR1 in tumorigenesis is poorly understood. Methods Expression of...
Article
Chemerin is an adipokine and immunomodulating factor that promotes chemotaxis of immature dendritic cells, natural killer cells, macrophages and endothelial cells. Secreted as prochemerin with low activity, it can be C-terminally processed by different proteases expressed by a broad range of cell types and tissues. The resulting isoforms vary in re...
Article
The formyl peptide receptor 1 (FPR1) is a G protein-coupled receptor with pattern recognition properties and is mainly expressed by myeloid cells. It is involved in a broad range of host defense mechanisms and a variety of host-derived agonists of FPR1 have been identified, including formyl peptides released from disrupted mitochondria of necrotic...
Article
Full-text available
Background The human polyomavirus BK expresses a 66 amino-acid peptide referred to as agnoprotein. Though mutants lacking agnoprotein are severely reduced in producing infectious virions, the exact function of this peptide remains incompletely understood. To elucidate the function of agnoprotein, we searched for novel cellular interaction partners....
Article
Full-text available
AIM: We investigated the expression of PAX6 in soft tissue sarcomas to evaluate its prognostic value. BACKGROUND: Transcription factor PAX6 has a decisive role in the development of the CNS, eye, pancreas and olfactory epithelium, and the pattern of PAX6 normal expression is restricted to those tissues. PAX6 is detected in various cancer cell lines...
Article
Tumor promoting inflammatory cells as well as inflammatory mediators such as chemokines are important contributors to the tumor microenvironment as they can support tumor progression, angiogenesis and metastasis. Chemerin (also known as TIG-2 or RARRES2) is a chemoattractant factor for macrophages, immature DCs and NK-cells and a known adipokine in...
Article
The formyl peptide receptor 1 (FPR1) is a G protein-coupled receptor with pattern recognition properties. It is mainly expressed by myeloid cells and is involved in a broad range of host defense mechanisms. However, a variety of host-derived agonists of FPR1 have been identified, including formyl peptides released from disrupted mitochondria of nec...

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