Biology subjects

Donati, C.

Publications and source records attributed to Donati, C..

8 recordsLinked to original sources

bioRxiv2024

Upregulation of DEK Expression in Uterine Myomas and Cervical Cancer as a Potential Prognostic Factor

The aim of this pilot study is to investigate the role of the DEK protein as a potential prognostic marker in gynecological tumors, specifically focusing on uterine myomas and cervical cancer. The study cohort comprised Chinese female patients manifesting with menorrhagia and pelvisalgia, from whom neoplastic and adjacent non-neoplastic tissue specimens were procured during surgical intervention for either leiomyomas or cervical carcinoma. DEK protein and messenger RNA (mRNA) levels were measured across normal uterine tissue, uterine myomas, and cervical cancer tissues using Western blotting, immunohistochemistry, and quantitative real time polymerase chain reaction (qRT-PCR). Results revealed a marked increase in DEK protein expression in cervical cancer tissues, moderate expression in uterine myomas, and minimal levels in normal uterine tissues. Statistical analyses confirmed significant differences in DEK protein expression between tissue types, though mRNA expression differences did not reach statistical significance. These findings suggest DEKs involvement in tumor development and suppression, making it a promising biomarker for early detection in gynecological tumors. Further research is needed to elucidate DEKs mechanisms in gynecological tumorigenesis and its potential as an early biomarker, addressing critical need in womens health.

cancer biology↗

bioRxiv2023

Species-level classification provides new insights into the biogeographical patterns of microbial communities in shallow saline lakes

Saline lakes are rapidly drying out across the globe, particularly in Central Asia, due to climate change and anthropogenic activities. We present the results of a long-read next generation sequencing analysis of the 16S rRNA-based taxonomic structure of bacteriomes of the Tengiz-Korgalzhyn lakes system. We found that the shallow endorheic, mostly saline lakes of the system show unusually low bacterioplankton dispersal rates at species-level taxonomic resolution. The major environmental factor structuring the lakes microbial communities was salinity. The dominant bacterial phyla of the lakes with high salinity included a significant proportion of marine and halophilic species. In sum, these results, which can be applied to other lake systems of the semi-arid regions, improve our understanding of the factors influencing lake microbiomes undergoing salinization in response to climate change and other anthropogenic factors. Our results show that finer taxonomic classification can provide new insights and improve our understanding of the environmental factors influencing the microbiomes of lakes undergoing salinization in response to climate change and other anthropogenic factors.

ecology↗

bioRxiv2023

Metagenomics untangles metabolic adaptations of Antarctic endolithic 1 bacteria at the fringe of habitability

BackgroundEndolithic niches offer an ultimate refuge, supplying buffered conditions for microorganisms that dwell inside rock airspaces. Yet, survival and growth strategies of Antarctic endolithic microbes residing in Earths driest and coldest desert remains virtually unknown. ResultsFrom 109 endolithic microbiomes, 4,539 metagenome-assembled genomes were generated, 49.3% of which were novel candidate bacterial species. We present evidence that trace gas oxidation and atmospheric chemosynthesis may be the prevalent strategies supporting metabolic activity and persistence of these ecosystems at the fringe of life and the limits of habitability. ConclusionsThese results represent the foundation to untangle adaptability at the edge of sustainability on Earth and on other dry Earth-like planetary bodies such as Mars.

microbiology↗

bioRxiv2023

aweMAGs: a fully automated workflow for quality assessment and annotation of eukaryotic genomes from metagenomes

Metagenomics is one of the most promising approaches to identify and characterize novel microbial species from environmental samples. While a large amount of prokaryotic metagenome assembled genomes (MAGs) have been published, only a few examples of eukaryotic MAGs have been reported. This is in part due to the absence of dedicated and easy-to-use processing pipelines. Quality assessment, annotation and phylogenomic placement of eukaryotic MAGs involve the use of several computational tools and reference databases that are often difficult to collect and maintain. We present metashot/aweMAGs, a fully automated workflow capable of performing all these steps. metashot/aweMAGs can run out-of-the-box on any platform that supports Docker, Singularity and Nextflow, including computing clusters or batch systems in the cloud.

bioinformatics↗

bioRxiv2022

Highly diverse and unknown viruses may enhance Antarctic endoliths' adaptability

Rock-dwelling microorganisms are key players in ecosystem functioning of Antarctic ice free-areas. Yet, little is known about their diversity and ecology. Here, we performed metagenomic analyses on rocks from across Antarctica comprising >75,000 viral operational taxonomic units (vOTUS). We found largely undescribed, highly diverse and spatially structured virus communities potentially influencing bacterial adaptation and biogeochemistry. This catalog lays the foundation for expanding knowledge of the virosphere in extreme environments.

microbiology↗

bioRxiv2020

Antarctic cryptoendolithic bacterial lineages of pre-Cambrian origin as proxy for Mars colonization

Cryptoendolithic communities are microbial ecosystems dwelling inside porous rocks. They are able to persist at the edge of the biological potential for life in the ice-free areas of continental Antarctica. These areas include the McMurdo Dry Valleys, often cited as a Terrestrial analog of the Martian environment. Despite their interest as a model for the early colonization by living organisms of terrestrial ecosystems and for adaptation to extreme conditions of stress, little is known about the evolution, diversity and genetic makeup of bacterial species that reside in these environments. We performed metagenomic sequencing of 18 communities from rocks collected in Antarctic desert areas over a distance of about 350 km. A total of 469 draft bacterial genome sequences were assembled, and clustered into 269 candidate species that lack a representative genome in public databases. The majority of these new species belong to monophyletic bacterial clades that diverged from related taxa in a range from 1.2 billion to 410 Ma, much earlier than the glaciation of Antarctica, and that are functionally distinct from known related taxa. The hypothesis that Antarctic cryptoendolithic bacterial lineages were generated by the selection of pre-existing cold-tolerant organisms whose origin dates back to the Tonian glaciations gives new insights for the possibility of life on Mars.

microbiology↗

bioRxiv2019

Metagenomes in the borderline ecosystems of the Antarctic cryptoendolithic communities

Antarctic cryptoendolithic communities are microbial ecosystems dwelling inside rocks of ice-free areas in Continental Antarctica. In Antarctica, these ecosystems were first described from the McMurdo Dry Valleys, accounted as the best analogous of the Martian environment on Earth and thought to be devoid of life until the discovery of these cryptic life-forms. Our results present the first shotgun metagenomes of Antarctic cryptoendolithic lichen-dominated communities from 18 differently sun-exposed rock samples collected during the XXXI Italian Antarctic Expedition (2015-16), along an altitudinal transect from 834 up to 3100 m a.s.l. Here, we provide the raw data obtained with Illumina Novaseq sequencer, followed by initial functional and taxonomic analysis.\n\nOur results extend understanding of the microbial diversity and biological processes in the Antarctic desert and represent an invaluable resource for the scientific community as a base-line for further studies of this kind to examine the mechanisms and pathways necessary for life to adapt and evolve in the extremes.

microbiology↗

bioRxiv2017

A practical tool for Maximal Information Coefficient analysis

BackgroundThe ability of finding complex associations in large omics datasets, assessing their significance, and prioritizing them according to their strength can be of great help in the data exploration phase. Mutual Information based measures of association are particularly promising, in particular after the recent introduction of the TICe and MICe estimators, which combine computational efficiency with good bias/variance properties. Despite that, a complete software implementation of these two measures and of a statistical procedure to test the significance of each association is still missing.\n\nFindingsIn this paper we present MICtools, a comprehensive and effective pipeline which combines TICe and MICe into a multi-step procedure that allows the identification of relationships of various degrees of complexity. MICtools calculates their strength assessing statistical significance using a permutation-based strategy. The performances of the proposed approach are assessed by an extensive investigation in synthetic datasets and an example of a potential application on a metagenomic dataset is also illustrated.\n\nConclusionsWe show that MICtools, combining TICe and MICe, is able to highlight associations that would not be captured by conventional strategies. MICtools is implemented in Python, and is available for download at https://github.com/minepy/mictools.

bioinformatics↗