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The Uterus from a Systems Biology and Artificial Intelligence Perspective

Description

We are dedicated to applying computational tools on single-cell and other omic-based sequencing data to answer questions regarding the biology of female reproductive organs. Our main aim is to model different biological processes (such as regeneration, niche interactions, or tumor formation) to contribute to an understanding of the uterus under healthy and pathological conditions.

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The Uterus from a Systems Biology and Artificial Intelligence Perspective Group

Description

We are dedicated to applying computational tools on single-cell and other omic-based sequencing data to answer questions regarding the biology of female reproductive organs. Our main aim is to model different biological processes (such as regeneration, niche interactions, or tumor formation) to contribute to an understanding of the uterus under healthy and pathological conditions.

Read more
The Uterus from a Systems Biology and Artificial Intelligence Perspective Group

Team members

Diego Amoros Portrait

Diego Amoros, Ph.D.

Senior Bioinformatician

Jaime Llera Portrait

Jaime Llera

Bioinformatician

Esther Tercero Portrait

Esther Tercero

Biostatistics

Yolanda Castello Portrait

Yolanda Castello

Bioinformatician

Main Publications

Single-cell RNA sequencing of SARS-CoV-2 cell entry factors in the preconceptional human endometrium

Vilella F, Wang W, Moreno I, Roson B, Quake SR, Simon C.

Hum Reprod. 2021 Sep 18;36(10):2709-2719.

https://doi.org/10.1093/humrep/deab183.

PMID: 34329437; PMCID: PMC8385818.