Author

E. Parente

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Ricciardi· 3 shared T. Zotta· 3 shared A. Kumar· 1 shared C. Forsblom· 1 shared K. Kontula· 1 shared M. Giavalisco· 1 shared M. Lehto· 1 shared P.-H. Groop· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersMicrobiology

A. Ricciardi

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Metataxonomic insights in the distribution of Lactobacillaceae in foods and food environments

E. Parente, T. Zotta, M. Giavalisco, A. Ricciardi

This paper evaluates the distribution of Lactobacillaceae in foods and food environments using the FoodMicrobionet database, highlighting challenges in taxonomic assignment and ecological patterns.

bioRxiv · Sep 9, 2022 · PreprintMicrobiology

FoodMicrobionet v4: a large, integrated, open and transparent database for food bacterial communities

E. Parente, T. Zotta, A. Ricciardi

FoodMicrobionet v4 is a large, annotated database of food bacterial communities, confirming reliable genus-level taxonomic assignment using 16S rRNA gene regions.

bioRxiv · Jan 19, 2022Microbiology

L-type calcium channel blocker increases VEGF concentrations in retinal cells and human serum

A. Kumar, S. Mutter, E. Parente, V. Harjutsalo, R. Lithovius, S. Mathavan, C. Forsblom, M. Lehto, T. P. Hiltunen, K. Kontula, P.-H. Groop

This study investigates how L-type calcium channel blockers affect VEGF levels in retinal cells and serum, finding increased VEGF but no link to severe diabetic eye disease.

bioRxiv · Dec 21, 2021Pharmacology & Toxicology

Microbial association networks in cheese: a meta-analysis

E. Parente, T. Zotta, A. Ricciardi

This paper reviews methods for inferring microbial association networks in cheese using metataxonomic data from 34 studies and evaluates their effectiveness in detecting microbial interactions.

bioRxiv · Jul 21, 2021 · PreprintMicrobiology