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How to Use SNP-TATA-Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter
Ponomarenko M.
to find a significant change in a gene's expression. Here we analyzed the change caused by SNPs
Integrated analysis of gene expression profiles reveals deregulation of the immune response genes during different phases of chronic hepatitis B infection
Poortahmasebi V., Salarian A., Amiri M., Poorebrahim M., Jazayeri S., Ataei A., Asghari M., Alavian S.
of CHB infection. Methods: The gene expression profiles of 83 CHB patients (22 IT, 50 IA, and 11 IC
Gene expression profile as a prognostic factor in proliferative diseases of reproductory system
Bojenko V.K., Kharchenko N.V., Kudinova E.A., Zapirov G.M., Trotsenko I.D.
prognostic system accuracy. Gene expression profiling is one of the methods that allow to asses
МОЛЕКУЛЯРНЫЕ МАРКЕРЫ СД2 ПРИ ОЖИРЕНИИ: ЭКСПРЕССИОННЫЙ ПРОФИЛЬ ГЕНОВ, КЛЮЧЕВЫХ МОЛЕКУЛ ГЕНОВ ВОСПАЛИТЕЛЬНОГО ОТВЕТА В МОНОНУКЛЕАРНЫХ КЛЕТКАХ ПЕРИФЕРИЧЕСКОЙ КРОВИ
КОЧЕТОВА, О.В., АХМАДИШИНА, Л.З., АВЗАЛЕТДИНОВА, Д.Ш., ШАНГАРЕЕВА, З.А., КОРЫТИНА, Г.Ф., KOCHETOVA, O.B., AKHMADISHINA, L.Z., AVZALETDINOVA, D.SH., SHANGAREEVA, Z.A., KORYTINA, G.F.
, CXCL16, BMP6 genes. Moreover, the expression profile of these genes in patients with type 2 diabetes
A neuroprotective dose of isatin causes multilevel changes involving the brain proteome: Prospects for further research
Medvedev A.
expressed proteins and a profile of the isatin-binding proteins in brain hemispheres. Isatin administration
Comparative analysis of gene expression profiles in Kupffer cells and monocytes
Nikitina M.P., Elchaninov A.V., Lokhonina A.V., Makarov A.V., Tagirova M.K., Grinberg M.V., Bolshakova G.B., Glinkina V.V., Goldshtein D.V., Fatkhudinov T.K.
differ in the profile of expressed genes. The observed differences in gene expression profiles do
Diversity of the expression profiles of late embryogenesis abundant (LEA) protein encoding genes in the anhydrobiotic midge Polypedilum vanderplanki
Hatanaka R., Gusev O., Cornette R., Shimura S., Kikuta S., Okada J., Okuda T., Kikawada T.
and rehydration. The expression of these genes was upregulated at the beginning of dehydration, the latter phase
RNA-Seq gene expression profiling of HepG2 cells: The influence of experimental factors and comparison with liver tissue
Tyakht A., Ilina E., Alexeev D., Ischenko D., Gorbachev A., Semashko T., Larin A., Selezneva O., Kostryukova E., Karalkin P., Vakhrushev I., Kurbatov L., Archakov A., Govorun V.
and validated using droplet digital PCR. The gene expression profile was compared to the results obtained
Statistical estimates of multiple transcription factors binding in the model plant genomes based on ChIP-seq data
Dergilev Arthur I., Orlova Nina G., Dobrovolskaya Oxana B., Orlov Yuriy L.
for the analysis of gene expression regulation, prediction of transcription factors target genes, and regulatory
Algorithm for Physiological Interpretation of Transcriptome Profiling Data for Non-Model Organisms
Gubaev R., Gorshkov V., Gapa L., Gogoleva N., Vetchinkina E., Gogolev Y.
obtaining expression profile of all genes and provide an essential basis for characterizing metabolism

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