Miguel A. Ibarra-Arellano

ORCID: 0000-0001-8411-4854
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About
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Research Areas
  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Bioinformatics and Genomic Networks
  • Molecular Biology Techniques and Applications
  • Carcinogens and Genotoxicity Assessment
  • Microbial Metabolic Engineering and Bioproduction
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Lung Cancer Research Studies
  • Brain Metastases and Treatment
  • Genetics, Bioinformatics, and Biomedical Research
  • DNA Repair Mechanisms
  • Cardiac Fibrosis and Remodeling
  • Artificial Intelligence in Healthcare and Education
  • Atherosclerosis and Cardiovascular Diseases
  • Gene Regulatory Network Analysis
  • Cellular Mechanics and Interactions
  • Multiple Sclerosis Research Studies
  • Cancer Genomics and Diagnostics
  • Forensic Anthropology and Bioarchaeology Studies
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Genomics and Rare Diseases

University Hospital Heidelberg
2022-2025

Heidelberg University
2022-2025

University Hospital Bonn
2023

Evolutionary Genomics (United States)
2016

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. Inflammation gradually compartmentalized and restricted to specific tissue niches such as lesion rim. However, precise cell type composition niches, their interactions changes between active inactive stages are incompletely understood. We used single-nucleus spatial transcriptomics from subcortical MS corresponding control tissues map types associated pathways nonlesion areas. identified perivascular...

10.1038/s41593-024-01796-z article EN cc-by-nc-nd Nature Neuroscience 2024-11-05

Abstract Chromosomal instability (CIN) is a hallmark of cancer that drives metastasis, immune evasion and treatment resistance. CIN results from chromosome mis-segregation events during anaphase, as excessive chromatin packaged in micronuclei (MN), can be enumerated to quantify CIN. Despite recent advancements automation through computer vision machine learning, the assessment remains predominantly manual time-consuming task, thus hampering important work field. Here, we present micronuclAI...

10.1101/2024.05.24.595722 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-05-29

Chromosomal instability (CIN) is a hallmark of cancer that drives metastasis, immune evasion and treatment resistance. CIN may result from chromosome mis-segregation errors excessive chromatin frequently packaged in micronuclei (MN), which can be enumerated to quantify CIN. The assessment remains predominantly manual time-consuming task. Here, we present micronuclAI, pipeline for automated reliable quantification MN varying size morphology cells stained only DNA. micronuclAI achieve close...

10.1038/s42003-025-07796-4 article EN cc-by Communications Biology 2025-03-04

Abstract Multiple sclerosis (MS) is a prototypic chronic-inflammatory disease of the central nervous system. After initial lesion formation during active demyelination, inflammation gradually compartmentalized and restricted to specific tissue areas such as rim in chronic-active lesions. However, cell type-specific spatially drivers chronic damage expansion are not well understood. Here, we investigated properties subcortical white matter lesions by creating spatial map gene expression...

10.1101/2022.11.03.514906 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-11-03

Skeletal dysplasias collectively affect a large number of patients worldwide. Most these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination bone age (BA) is useful tool. Moreover, consecutive BA measurements are crucial for monitoring with such disorders, especially timing hormonal treatment or orthopedic interventions. However, manual assessment time-consuming and suffers from high intra- inter-rater variability. This further exacerbated by genetic...

10.1007/s00247-023-05789-1 article EN cc-by Pediatric Radiology 2023-11-13

The availability of databases electronically encoding curated regulatory networks and high-throughput technologies methods to discover interactions provides an invaluable source data understand the principles underpinning organization evolution these responsible for cellular regulation. Nevertheless, on sources never goes beyond regulon level despite fact that are complex hierarchical-modular structures still challenging our understanding. This brings necessity inventory systems across a...

10.1093/database/baw089 article EN cc-by Database 2016-01-01

Abstract Myocardial infarction (MI) continues to be a leading cause of death worldwide. Even though it is well-established that the complex interplay between different cell types determines overall healing response after MI, precise changes in tissue architecture are still poorly understood. Here we generated an integrative cellular map acute phase murine MI using combination imaging-based transcriptomics (Molecular Cartography) and antibody-based highly multiplexed imaging (Sequential...

10.1101/2024.05.20.594955 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-05-21
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