Pedro Luis Moura

Assistant Professor in Translational Hematology

Karolinska Institutet

Sweden

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About

Pedro Luis Moura is an Assistant Professor in Translational Hematology at Karolinska Institutet in Sweden. His research focuses on various aspects of hematology, including myelodysplastic syndromes, telomere biology disorders, and the molecular mechanisms underlying erythropoiesis and immune cell functioning. Recent publications explore topics such as the genetic implications of UBA1 variants, the proteomic landscape of macrophages, and the clinical manifestations associated with SF3B1 mutations.

Articles (12)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2020

Collaborators (16)

Gabriele Todisco

Assistant Professor

Humanitas University

ITALY

Pedro Luis Moura

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Articles (12)

Identification of biallelic POLA2 variants in two families with an autosomal recessive telomere biology disorder.

Germline <i>UBA1</i> Variant With Somatic Amplification in a Woman With Inflammatory Diseases and Myelodysplastic Syndrome.

Neutrophils cultured ex vivo from CD34+ stem cells are immature and genetically tractable

Erythroid Differentiation Enhances RNA Mis-Splicing in SF3B1-Mutant Myelodysplastic Syndromes with Ring Sideroblasts.

Complete absence of GLUT1 does not impair human terminal erythroid differentiation

Defining the proteomic landscape of cultured macrophages and their polarization continuum

Integrated Genomic and Transcriptomic Analysis Improves Disease Classification and Risk Stratification of MDS with Ring Sideroblasts.

I329L: A Dual Action Viral Antagonist of TLR Activation Encoded by the African Swine Fever Virus (ASFV).

The extent of residual WT HSPCs is associated with the degree of anemia in patients with SF3B1 mutated MDS-RS

Clinical manifestations of clonal hematopoiesis: What has SF3B1-mutant MDS taught us?

Blood group type A secretors are associated with a higher risk of COVID-19 cardiovascular disease complications.

Rapid diagnosis of hereditary haemolytic anaemias using automated rheoscopy and supervised machine learning.

Collaborators (16)

Gabriele Todisco

Sten Eirik Waelgaard Jacobsen

Lisa J. McReynolds

Teresa Mortera-Blanco

Fiona Moghaddas

Stephen Cross

Huan Jiang

Ann Nordgren

Tetsuichi Yoshizato

Roza Chaireti

Borko Amulic

Stephanie Diezmann

Kathryn Fleming

Marios Dimitriou

Ashley Toye

Timothy Satchwell

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