Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ekaterina Ilgisonis"'
Autor:
Anna Kozlova, Elizaveta Sarygina, Kseniia Deinichenko, Sergey Radko, Konstantin Ptitsyn, Svetlana Khmeleva, Leonid Kurbatov, Pavel Spirin, Vladimir Prassolov, Ekaterina Ilgisonis, Andrey Lisitsa, Elena Ponomarenko
Publikováno v:
Biology, Vol 12, Iss 12, p 1494 (2023)
The long-read RNA sequencing developed by Oxford Nanopore Technologies provides a direct quantification of transcript isoforms, thereby making it possible to present alternative splicing (AS) profiles as arrays of single splice variants with differen
Externí odkaz:
https://doaj.org/article/daac558203c34f79b819ea2f53824ee3
Autor:
Elizaveta Sarygina, Anna Kozlova, Kseniia Deinichenko, Sergey Radko, Konstantin Ptitsyn, Svetlana Khmeleva, Leonid K. Kurbatov, Pavel Spirin, Vladimir S. Prassolov, Ekaterina Ilgisonis, Andrey Lisitsa, Elena Ponomarenko
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 21, p 15502 (2023)
The long-read RNA sequencing developed by Oxford Nanopore Technology provides a direct quantification of transcript isoforms. That makes the number of transcript isoforms per gene an intrinsically suitable metric for alternative splicing (AS) profili
Externí odkaz:
https://doaj.org/article/ff79683b2e834ef2a6c902b70fd3c734
Autor:
Svetlana Tarbeeva, Anna Kozlova, Elizaveta Sarygina, Olga Kiseleva, Elena Ponomarenko, Ekaterina Ilgisonis
Publikováno v:
Life, Vol 13, Iss 2, p 255 (2023)
Foodborne bacteria interconnect food and human health. Despite significant progress in food safety regulation, bacterial contamination is still a serious public health concern and the reason for significant commercial losses. The screening of the mic
Externí odkaz:
https://doaj.org/article/7d0677e850f3404db74f76b2909cfbcd
Autor:
Ekaterina Ilgisonis, Nikita Vavilov, Elena Ponomarenko, Andrey Lisitsa, Ekaterina Poverennaya, Victor Zgoda, Sergey Radko, Alexander Archakov
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
The cutoff level applied in sequencing analysis varies according to the sequencing technology, sample type, and study purpose, which can largely affect the coverage and reliability of the data obtained. In this study, we aimed to determine the optima
Externí odkaz:
https://doaj.org/article/d989aa47c3c84d468c69778966ec392c
Autor:
George Krasnov, Timur Shkrigunov, Sergey Radko, Konstantin Ptitsyn, Valeriya Shapovalova, Olga Timoshenko, Svetlana Khmeleva, Leonid Kurbatov, Yana Kiseleva, Ekaterina Ilgisonis, Olga Kiseleva, Igor Vakhrushev, Anastasia Tsvetkova, Ivan Buromski, Sergey Markin, Alexander Archakov, Andrey Lisitsa, Elena Ponomarenko
Publikováno v:
Data in Brief, Vol 36, Iss , Pp 107130- (2021)
The chromosome-centric dataset was created by applying several technologies of transcriptome profiling. The described dataset is available at NCBI repository (BioProject ID PRJNA635536). The dataset referred to the same type of tissue, cell lines, tr
Externí odkaz:
https://doaj.org/article/3c58741049114b1294ba50cbe8cbb649
Publikováno v:
EuPA Open Proteomics, Vol 22, Iss , Pp 25-27 (2019)
This work on solving the mystery of words encoded by amino acids in peptides was derived by the YPIC-EuPA Challenge. We received a dry synthetic peptide sample and performed a mass spectrometric analysis followed by de novo peptide sequencing. As a r
Externí odkaz:
https://doaj.org/article/ba45c04bec0a4fbab15b9bf9c7a8a454
Publikováno v:
Metabolites, Vol 12, Iss 1, p 15 (2021)
Metabolomics uses advanced analytical chemistry methods to analyze metabolites in biological samples. The most intensively studied samples are blood and its liquid components: plasma and serum. Armed with advanced equipment and progressive software s
Externí odkaz:
https://doaj.org/article/9248e3b58ccc4c9eae95fab137309273
Autor:
Ekaterina Poverennaya, Olga Kiseleva, Ekaterina Ilgisonis, Svetlana Novikova, Arthur Kopylov, Yuri Ivanov, Alexei Kononikhin, Mikhail Gorshkov, Nikolay Kushlinskii, Alexander Archakov, Elena Ponomarenko
Publikováno v:
Proteomes, Vol 8, Iss 2, p 12 (2020)
Despite direct or indirect efforts of the proteomic community, the fraction of blind spots on the protein map is still significant. Almost 11% of human genes encode missing proteins; the existence of which proteins is still in doubt. Apparently, prot
Externí odkaz:
https://doaj.org/article/3d97296f9118449c8b320f7e5ed4ebbd
Background Complex multi-omics data requires interpretation on different levels of molecular biology processes. However, genomics and transcriptomics methods are more sensitive than proteomic methods because of PCR reaction and ability to multiply mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b051f0522286a97c8b921b5d60e0e21
https://doi.org/10.21203/rs.3.rs-2911964/v1
https://doi.org/10.21203/rs.3.rs-2911964/v1
Autor:
Alexander Archakov, Nikita Vavilov, Ekaterina Ilgisonis, Andrey Lisitsa, Elena Ponomarenko, Tatiana Farafonova, Olga Tikhonova, Victor Zgoda
Publikováno v:
Current proteinpeptide science. 23(4)
Aims: The main goal of the Russian part of C-HPP is to detect and functionally annotate missing proteins (PE2-PE4) encoded by human chromosome 18. To achieve this goal, it is necessary to use the most sensitive methods of analysis. Background: Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60368778ba4ec4a9dc6ada1dc575440e
https://pubmed.ncbi.nlm.nih.gov/35619260
https://pubmed.ncbi.nlm.nih.gov/35619260