Laura Elo

Professor of Computational Medicine, Research Director in Bioinformatics

University of Turku

Finland

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About

Professor Laura Elo serves as the Professor of Computational Medicine and Research Director in Bioinformatics at the University of Turku, Finland. Her research focuses on advanced topics in bioinformatics, specifically metaproteomics, metabolite resistance mechanisms in malaria, and targeted proteomics in diabetes. Recent publications include investigations into gut microbiota profiles, immune responses in type 1 diabetes, and the regulation of gene expression during human Th17 cell differentiation.

Articles (20)

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Collaborators (22)

Leena Strauss

University Lecturer

University of Turku

FINLAND

Laura Elo

Research Interests

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Articles (20)

A Metabolite-Based Resistance Mechanism Against Malaria

Metaproteomics Beyond Databases: Addressing the Challenges and Potentials of De Novo Sequencing

Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes affirms markers of disease

Adaptive sequence alignment for metagenomic data analysis

Distinct cellular immune responses in children en route to type 1 diabetes with different first-appearing autoantibodies

Differences in Gut Microbiota Profiles and Microbiota Steroid Hormone Biosynthesis in Men with and Without Prostate Cancer.

Disruption of HSD17B12 in mouse hepatocytes leads to reduced body weight and defect in the lipid droplet expansion associated with microvesicular steatosis

A proximal enhancer regulates RORA expression during early human Th17 cell differentiation

Long noncoding RNA LIRIL2R modulates FOXP3 levels and suppressive function of human CD4<sup>+</sup> regulatory T cells by regulating IL2RA

Proteomics screening after pediatric allogenic hematopoietic stem cell transplantation reveals an association between increased expression of inhibitory receptor FCRL6 on γδ T cells and cytomegalovirus reactivation

Profiling of peripheral blood B-cell transcriptome in children who developed coeliac disease in a prospective study

Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach

Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples

An Infancy-Onset 20-Year Dietary Counselling Intervention and Gut Microbiota Composition in Adulthood

Histone H3K4me3 breadth in hypoxia reveals endometrial core functions and stress adaptation linked to endometriosis

Statistical and machine learning methods to study human CD4+ T cell proteome profiles

Weight Loss Trajectories in Healthy Weight Coaching: Cohort Study

Tool evaluation for the detection of variably sized indels from next generation whole genome and targeted sequencing data

Improved risk prediction of chemotherapy‐induced neutropenia—model development and validation with real‐world data

An Unbiased Functional Genetics Screen Identifies Rare Activating ERBB4 Mutations

Collaborators (22)

Leena Strauss

Robert K. Ernst

Ghyslain Mombo-Ngoma

Tomi Suomi

Søren Brunak

fatima nogueira

Anna Aatsinki

Mikael Knip

Maarit Bärlund

Raivo Uibo

Florian Kurth

David Robinson Goodlett

Kirsi Pietiläinen

Katja Pahkala

Hanna Lagström

Teemu Kallonen

Leo Lahti

Alison Scott

Ana Laura Sousa

Sílvia Cardoso

Maria Joao Amorim

Tatjana Nikolic

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