I. Deyneko

发表

Inhibition of Hedgehog Signaling Antagonizes Serous Ovarian Cancer Growth in a Primary Xenograft Model

Michael J. Birrer, Michael D. Curley, Jeanne A. Ferguson, 2011, PloS one.

Combined hedgehog and epidermal growth factor receptor (EGFR) inhibition in a direct patient tumor model (DPTM) of head and neck squamous cell cancer (HNSCC).

A. Jimeno, A. Tan, Ryan T Anderson, 2010 .

Title: Poor knowledge of vaccination recommendations and negative attitudes towards vaccinations are independently associated with poor vaccination uptake among adults – findings of a population- based panel study in Lower Saxony, Germany Authors:

A. Karch, I. Deyneko, N. Rübsamen, 2018 .

Genetic variation in TLR pathway and the risk of pulmonary tuberculosis in a Moldavian population.

T. Illig, H. Grallert, I. Deyneko, 2019, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Fine Tuning of Translation: A Complex Web of Mechanisms and Its Relevance to Plant Functional Genomics and Biotechnology

I. Deyneko, O. Gra, K. V. Kabardaeva, 2019, Russian Journal of Plant Physiology.

Human-chimpanzee promoter comparisons: property-conserved evolution?

Yulia M. Kalybaeva, H. Blöcker, A. Kel, 2010, Genomics.

FlowerMorphology: fully automatic flower morphometry software

E. Deineko, I. Deyneko, S. M. Rozov, 2018, Planta.

Poor knowledge of vaccination recommendations and negative attitudes towards vaccinations are independently associated with poor vaccination uptake among adults - Findings of a population-based panel study in Lower Saxony, Germany.

R. Mikolajczyk, M. Akmatov, A. Karch, 2018, Vaccine.

Candidate genes and sequence variants for susceptibility to mycobacterial infection identified by whole-exome sequencing

T. Illig, G. H. Bruun, B. Andresen, 2022, Frontiers in Genetics.

Composing a Tumor Specific Bacterial Promoter

S. Weiss, I. Deyneko, S. Leschner, 2016, PloS one.

Synergistic effect of genetic polymorphisms in TLR6 and TLR10 genes on the risk of pulmonary tuberculosis in a Moldavian population

T. Illig, H. Grallert, I. Deyneko, 2020, Innate immunity.

Dataset-specific thresholds significantly improve detection of low transcribed regulatory genes in polysome profiling experiments

I. Deyneko, O. Mustafaev, I. Goldenkova-Pavlova, 2020, bioRxiv.

Identification of tumor-specific Salmonella Typhimurium promoters and their regulatory logic

D. Bumann, S. Weiss, H. Bloecker, 2011, Nucleic acids research.

Development of a unique epigenetic signature during in vivo Th17 differentiation

L. Groebe, T. Sparwasser, J. Huehn, 2015, Nucleic acids research.

MatrixCatch - a novel tool for the recognition of composite regulatory elements in promoters

E. Wingender, A. Kel, O. Kel-Margoulis, 2013, BMC Bioinformatics.

Guidelines on the performance evaluation of motif recognition methods in bioinformatics

I. Deyneko, 2023, Frontiers in Genetics.

MatrixCatch - a novel tool for the recognition of composite regulatory elements in promoters

Alexander E. Kel, Olga V. Kel-Margoulis, Edgar Wingender, 2013, BMC Bioinformatics.

Polymorphisms of glutathione S-transferase and methylenetetrahydrofolate reductase genes in Moldavian patients with ulcerative colitis: Genotype-phenotype correlation

I. Deyneko, A. Varzari, E. Tudor, 2015, Meta gene.

Analysis of polymorphisms in RIG-I-like receptor genes in German multiple sclerosis patients

A. Chan, J. Epplen, S. Hoffjan, 2014, Journal of Neuroimmunology.

570 POSTER Activity of IPI-926, a novel inhibitor of the HH pathway, in subcutaneous and orthotopically implanted xenograft tumors that express SHH ligand

J. Sydor, V. Palombella, Z. Oaks, 2008 .

Evaluation of variation in genes of the arylhydrocarbon receptor pathway for an association with multiple sclerosis

J. Epplen, A. Haghikia, S. Hoffjan, 2019, Journal of Neuroimmunology.

Hormonal Regulation and Crosstalk of Auxin/Cytokinin Signaling Pathways in Potatoes In Vitro and in Relation to Vegetation or Tuberization Stages

G. Romanov, I. Deyneko, O. O. Kolachevskaya, 2021, International journal of molecular sciences.

Modeling and cleaning RNA-seq data significantly improve detection of differentially expressed genes

I. Deyneko, A. Varzari, A. Tyurin, 2022, BMC Bioinformatics.

FeatureScan: revealing property-dependent similarity of nucleotide sequences

Alexander E. Kel, Igor V. Deyneko, Gerhard Kauer, 2006, Nucleic Acids Res..

Computational and Experimental Tools to Monitor the Changes in Translation Efficiency of Plant mRNA on a Genome-Wide Scale: Advantages, Limitations, and Solutions

Igor V. Deyneko, Irina V. Goldenkova-Pavlova, Olga S. Pavlenko, 2018, International journal of molecular sciences.