Tuesday, March 9, 2021

Building bridges--new ModelMatcher resource

Readers of this blog are likely be interested to read this article appearing in Lab Animal and check out the new ModelMatcher online resource featured in the article. ModelMatcher was recently launched by Yamamoto and colleagues at Baylor College of Medicine. 

Logo of the ModelMatcher dot net online resource

Are you a clinician interested to partner with labs that can harness the power of genetic model systems? Or an expert in Drosophila, C. elegans, or other models interested to partner with clinicians? 

Click to learn more! 

Lab Animal, "Model matchmaking" by Ellen P. Neff
ModelMatcher online resource

Additional resources of interest include:
DIOPT
for ortholog mapping
MARRVEL for human disease variant exploration
BioLitMine for gene-centric literature search
Matchmaker Exchange
Monarch Initiative Explorer

Friday, March 5, 2021

Review article: "Investigating rare and ultrarare epilepsy syndromes with Drosophila models"

Fac Rev. 2021 Jan 29;10:10. doi: 10.12703/r/10-10. eCollection 2021.

Investigating rare and ultrarare epilepsy syndromes with Drosophila models.

Lasko P(1)(2), Lüthy K(1)(3).

Author information:
(1)Department of Human Genetics, Radboud University Medical Centre, Nijmegen,
Netherlands.
(2)Department of Biology, McGill University, Montréal, Québec, Canada.
(3)Donders Institute for Brain, Cognition and Behaviour, Radboud University
Medical Centre, Nijmegen, Netherlands.

Abstract:

One in three epilepsy cases is drug resistant, and seizures often begin in  infancy, when they are life-threatening and when therapeutic options are highly limited. An important tool for prioritizing and validating genes associated with epileptic conditions, which is suitable for large-scale screening, is disease  modeling in Drosophila. Approximately two-thirds of disease genes are conserved in Drosophila, and gene-specific fly models exhibit behavioral changes that are  related to symptoms of epilepsy. Models are based on behavior readouts, seizure-like attacks and paralysis following stimulation, and neuronal,  cell-biological readouts that are in the majority based on changes in nerve cell activity or morphology. In this review, we focus on behavioral phenotypes. Importantly, Drosophila modeling is independent of, and complementary to, other approaches that are computational and based on systems analysis. The large  number of known epilepsy-associated gene variants indicates a need for efficient research strategies. We will discuss the status quo of epilepsy disease modelling in Drosophila and describe promising steps towards the development of new drugs to reduce seizure rates and alleviate other epileptic symptoms.

Copyright: © 2021 Lasko P et al.

DOI: 10.12703/r/10-10
PMCID: PMC7894260
PMID: 33659928

Drosophila research helps inform hypothesis regarding effects of macrophages on metabolism

Front Cell Dev Biol. 2021 Feb 15;9:629238. doi: 10.3389/fcell.2021.629238.
eCollection 2021.

Polarization of Macrophages in Insects: Opening Gates for Immuno-Metabolic
Research.


Bajgar A(1), Krejčová G(1), Doležal T(1).

Author information:
(1)Department of Molecular Biology and Genetics, University of South Bohemia,
Ceske Budejovice, Czechia.

From the abstract:

Insulin resistance and cachexia represent severe metabolic syndromes accompanying a variety of human pathological states, from life-threatening cancer and sepsis to chronic inflammatory states, such as obesity and autoimmune disorders. ... Current progress in insect immuno-metabolic research reveals that the induction of insulin resistance might represent an adaptive mechanism during the acute phase of bacterial infection. In Drosophila, insulin resistance is induced by signaling factors released by bactericidal macrophages as a reflection of their metabolic polarization toward aerobic glycolysis. Such metabolic adaptation enables them to combat the invading pathogens efficiently but also makes them highly nutritionally demanding. Therefore, systemic metabolism has to be adjusted upon macrophage activation ... We hypothesize that insulin resistance evoked by macrophage-derived signaling factors represents an adaptive mechanism for the mobilization of sources and their preferential delivery toward the activated immune system. We consider here the validity of the presented model for mammals and human medicine. ... Chronic insulin resistance is at the base of many human metabolically conditioned diseases such as non-alcoholic steatohepatitis, atherosclerosis, diabetes, and cachexia. Therefore, revealing the original biological relevance of cytokine-induced insulin resistance may help to develop a suitable strategy for treating these frequent diseases.

Copyright © 2021 Bajgar, Krejčová and Doležal.

DOI: 10.3389/fcell.2021.629238
PMCID: PMC7917182
PMID: 33659253

It takes a zoo: Use of Drosophila and other organisms in aging research (review article)

Cell Mol Life Sci. 2021 Feb;78(4):1275-1304. doi: 10.1007/s00018-020-03658-w.
Epub 2020 Oct 9.

Nontraditional systems in aging research: an update.

Mikuła-Pietrasik J(1), Pakuła M(2), Markowska M(2), Uruski P(2),
Szczepaniak-Chicheł L(2), Tykarski A(2), Książek K(3).

Author information:
(1)Department of Pathophysiology of Ageing and Civilization Diseases, Poznań
University of Medical Sciences, Długa 1/2 Str., 61-848, Poznań, Poland.
(2)Department of Hypertensiology, Poznań University of Medical Sciences, Długa
1/2 Str., 61-848, Poznań, Poland.
(3)Department of Pathophysiology of Ageing and Civilization Diseases, Poznań
University of Medical Sciences, Długa 1/2 Str., 61-848, Poznań, Poland.
kksiazek@ump.edu.pl.

Research on the evolutionary and mechanistic aspects of aging and longevity has  a reductionist nature, as the majority of knowledge originates from experiments on a relatively small number of systems and species. Good examples are the studies on the cellular, molecular, and genetic attributes of aging (senescence) that are primarily based on a narrow group of somatic cells, especially fibroblasts. Research on aging and/or longevity at the organismal level is dominated, in turn, by experiments on Drosophila melanogaster, worms (Caenorhabditis elegans), yeast (Saccharomyces cerevisiae), and higher organisms
such as mice and humans. Other systems of aging, though numerous, constitute the minority. In this review, we collected and discussed a plethora of up-to-date findings about studies of aging, longevity, and sometimes even immortality in several valuable but less frequently used systems, including bacteria (Caulobacter crescentus, Escherichia coli), invertebrates (Turritopsis dohrnii, Hydra sp., Arctica islandica), fishes (Nothobranchius sp., Greenland shark), reptiles (giant tortoise), mammals (blind mole rats, naked mole rats, bats, elephants, killer whale), and even 3D organoids, to prove that they offer biogerontologists as much as the more conventional tools. At the same time, the diversified knowledge gained owing to research on those species may help to reconsider aging from a broader perspective, which should translate into a better understanding of this tremendously complex and clearly system-specific  phenomenon.

DOI: 10.1007/s00018-020-03658-w
PMID: 33034696