Intact cell mass spectrometry for revealing single gene changes in mammalian cells. Biostatistics and artificial intelligence data evaluation

PEČINKA, Lukáš, Lukáš MORÁŇ, Petr VAŇHARA and Josef HAVEL. Intact cell mass spectrometry for revealing single gene changes in mammalian cells. Biostatistics and artificial intelligence data evaluation. In 21. Škola hmotnostní spektrometrie, Srní, Czech Republic, September 13-18, poster no. 27, 2020. 2020.

Basic information

Original name

Intact cell mass spectrometry for revealing single gene changes in mammalian cells. Biostatistics and artificial intelligence data evaluation

Authors

PEČINKA, Lukáš, Lukáš MORÁŇ, Petr VAŇHARA and Josef HAVEL

Edition

21. Škola hmotnostní spektrometrie, Srní, Czech Republic, September 13-18, poster no. 27, 2020, 2020

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Other information

Type of outcome

Conference abstract

Confidentiality degree

is not subject to a state or trade secret

Keywords in English

intact cell mass spectrometry

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Abstract

V originále

Changes in mass spectra profiles possibly reflecting changes in the inner cellular environment allowed discrimination using multivariate statistical methods or classification via self-learning approaches e.g. artificial neural networks (ANN). The mass spectra obtained from intact mammalian cells with or without TUSC3 silencing, were post-processed and evaluated using the R Studio or eMSTAT Solution.

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Links

MUNI/A/1421/2019, interní kód MU	Name: Analytické a fyzikálně-chemické metody ve výzkumu geologických, biologických a syntetických materiálů (Acronym: AFCHMAT) Investor: Masaryk University, Category A
NV18-08-00299, research and development project	Name: Nové nástroje pro kontrolu kvality pluripotentních kmenových buněk a progenitorů určených pro klinické aplikace