Camilla J. L. Eldridge

ORCID: 0009-0003-4599-2170
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About
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Research Areas
  • Neurogenesis and neuroplasticity mechanisms
  • Genomics and Phylogenetic Studies
  • Astronomy and Astrophysical Research
  • Glioma Diagnosis and Treatment
  • Isotope Analysis in Ecology
  • Genetic diversity and population structure
  • Nerve injury and regeneration
  • Stellar, planetary, and galactic studies
  • Astrophysics and Star Formation Studies
  • Axon Guidance and Neuronal Signaling
  • Neuroblastoma Research and Treatments
  • Biochemical and Structural Characterization
  • Methane Hydrates and Related Phenomena
  • Cardiac Structural Anomalies and Repair
  • Cerebrospinal fluid and hydrocephalus
  • Marine and environmental studies
  • Parasite Biology and Host Interactions
  • 3D Printing in Biomedical Research
  • Cephalopods and Marine Biology
  • Aquatic Invertebrate Ecology and Behavior
  • Plant Diversity and Evolution
  • Mollusks and Parasites Studies

Diego Portales University
2024

Nucleus (Norway)
2024

Wellcome Sanger Institute
2023

University College London
2005

National Hospital for Neurology and Neurosurgery
2005

Washington University in St. Louis
1983-1987

We describe three unusual tumours characterized by a mixture of glial and neuronal differentiation, involvement the posterior fossa formation rosettes. Mixed glial-neuronal are rare poorly described neoplasms. However, several distinctive entities have appeared in literature over recent years under variety different names. Our cases demonstrate morphological features 'rosette-forming glioneuronal tumour fourth ventricle', recently identified characterised its unique location, neurocytic...

10.1111/j.1365-2990.2005.00692.x article EN Neuropathology and Applied Neurobiology 2005-10-06

ABSTRACT Stellar chemical abundances have proved themselves a key source of information for understanding the evolution Milky Way, and scale major stellar surveys such as GALAH massively increased amount data available. However, progress is hampered by level precision in abundance well visualization methods comparing multidimensional outputs models to data. Machine learning greatly improved former; while application tree-building or phylogenetic borrowed from biology are beginning show...

10.1093/mnras/stae280 article EN cc-by Monthly Notices of the Royal Astronomical Society 2024-01-25

The most metal-poor stars provide valuable insights into the early chemical enrichment history of a system, carrying imprints first generations supernovae. region Sagittarius dwarf galaxy remains inadequately observed and characterised. To date, only ∼4 with [Fe/H] < −2.0 have been chemically analysed high-resolution spectroscopy. In this study, we present extensive abundance analysis 12 low-metallicity metallicities down to = −3.26 located in main body Sagittarius. These targets,...

10.1051/0004-6361/202450553 article EN Astronomy and Astrophysics 2024-07-03

Molluscs are a highly speciose phylum that exhibits an astonishing array of colours and patterns, yet relatively little progress has been made in identifying the underlying genes determine phenotypic variation. One prominent example is land snail Cepaea nemoralis for which classical genetic studies have shown around nine loci, several physically linked inherited together as 'supergene', control shell colour banding polymorphism. As first step towards involved, we used whole-genome...

10.1038/s41437-023-00648-z article EN cc-by Heredity 2023-09-27

Abstract Phylogenetic methods have long been used in biology and more recently extended to other fields—for example, linguistics technology—to study evolutionary histories. Galaxies also an history fall within this broad phylogenetic framework. Under the hypothesis that chemical abundances can be as a proxy for interstellar medium’s DNA, allow us reconstruct hierarchical similarities differences among stars—essentially, tree of relationships thus history. In work, we apply simulated disk...

10.3847/1538-4357/ad036a article EN cc-by The Astrophysical Journal 2024-02-01

The most metal-poor stars provide valuable insights into the early chemical enrichment history of a system, carrying imprints first generations supernovae. region Sagittarius dwarf galaxy remains inadequately observed and characterised. To date, only handful with [Fe/H]$<-2.0$ have been chemically analysed high-resolution spectroscopy. In this study, we present extensive abundance analysis 12 low-metallicity metallicities down to [Fe/H]$=-3.26$ located in main body Sagittarius. These...

10.48550/arxiv.2405.00096 preprint EN arXiv (Cornell University) 2024-04-30

We analyse high-resolution ESPaDOnS/CFHT spectra of 20 very metal-poor stars ([Fe/H]~$<-2.0$) in the solar neighbourhood (within $\sim2$ kpc) selected to be on planar orbits (with a maximum height $\lesssim4$ kpc). Targets include 11 prograde and 9 retrograde stars, spanning wide range eccentricities ($0.20-0.95$). Their chemical abundances are consistent with those observed Galactic halo but show smaller spread, no notable difference between progrades retrogrades. This suggests common...

10.48550/arxiv.2409.13813 preprint EN arXiv (Cornell University) 2024-09-20

Phylogenetic methods have long been used in biology, and more recently extended to other fields - for example, linguistics technology study evolutionary histories. Galaxies also an history, fall within this broad phylogenetic framework. Under the hypothesis that chemical abundances can be as a proxy interstellar medium's DNA, allow us reconstruct hierarchical similarities differences among stars essentially tree of relationships thus history. In work, we apply simulated disc galaxy obtained...

10.48550/arxiv.2310.12235 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Stellar chemical abundances have proved themselves a key source of information for understanding the evolution Milky Way, and scale major stellar surveys such as GALAH massively increased amount data available. However, progress is hampered by level precision in abundance well visualization methods comparing multidimensional outputs models to data. Machine learning greatly improved former; while application tree-building or phylogenetic borrowed from biology are beginning show promise with...

10.48550/arxiv.2310.15107 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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