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Different Approaches to Unveil Biomolecule Configurations and Their Mutual Interactions

Authors :
Lucia Altucci
Vincenzo Carafa
Mariarosaria Conte
M. R. Del Sorbo
Francesco Bajardi
Salvatore Capozziello
Angela Nebbioso
Rosaria Benedetti
Carlo Altucci
Hendrik G. Stunnenberg
Benedetti, R.
Bajardi, F.
Capozziello, S.
Carafa, V.
Conte, M.
Del Sorbo, M. R.
Nebbioso, A.
Singh, M.
Stunnenberg, H. G.
Valadan, M.
Altucci, L.
Altucci, C.
Source :
Analytical Letters
Publication Year :
2021

Abstract

A novel technique was demonstrated that overcome important drawbacks to crosslink cells by irradiation with ultrashort UV laser pulses (L-crosslinking). To use this technique coupled to Chromatin ImmunoPrecipitation (ChIP) in a high throughput context, a pre-screening fast method needs to be implemented to set up suitable irradiation conditions of the cell sample for efficient L-crosslinking with no final and long ChIP analysis. Here a fast method is reported where living human cells have been first transfected with a vector coding for Estrogen Receptor {\alpha} (ER{\alpha}), linked to Green Florescent protein (ER{\alpha}-GFP), so that the well-known interaction between the Estrogen Receptor Elements (ERE) region of the cell DNA and the ER{\alpha} protein can be detected by studying the fluorometric response of the irradiated cells. The damage induced to cells by UV irradiation is characterized by looking at DNA integrity, proteins stability and cellular viability. A second novel approach is presented to analyze or re-visit DNA and RNA sequences and their molecular configurations. This approach is based on methods derived from Chern-Simons super-gravity adapted to describe mutations in DNA/RNA strings, as well as interactions between nucleic acids. As a preliminary case we analyze the KRAS human gene sequence and some of its mutations. Interestingly, our model shows how the Chern-Simons current are capable to characterize the mutations within a sequence, in particular giving a quantitative indication of the mutation likelihood.<br />Comment: 33 pages, 5 figures

Details

Language :
English
ISSN :
00032719
Database :
OpenAIRE
Journal :
Analytical Letters
Accession number :
edsair.doi.dedup.....9a0f354faa8fbaedc31221122e205ff4