The protozoan nucleus

The nucleus is arguably the defining characteristic of eukaryotes, distinguishing their cell organisation from both bacteria and archaea. Though the evolutionary history of the nucleus remains the subject of debate, its emergence differs from several other eukaryotic organelles in that it appears not to have evolved through symbiosis, but by cell membrane elaboration from an archaeal ancestor. Evolution of the nucleus has been accompanied by elaboration of nuclear structures that are intimately linked with most aspects of nuclear genome function, including chromosome organisation, DNA maintenance, replication and segregation, and gene expression controls. Here we discuss the complexity of the nucleus and its substructures in protozoan eukaryotes, with a particular emphasis on divergent aspects in eukaryotic parasites, which shed light on nuclear function throughout eukaryotes and reveal specialisations that underpin pathogen biology

Developmental signals in skin morphogenesis

Non peer reviewedFinal Accepted Versio

Protein features instruct the secretion dynamics from metal-supported synthetic amyloids

Hexahistidine-tagged proteins can be clustered by divalent cations into self-containing, dynamic protein depots at the microscale, which under physiological conditions leak functional protein. While such protein granules show promise in clinics as time-sustained drug delivery systems, little is known about how the nature of their components, that is, the protein and the particular cation used as cross-linker, impact on the disintegration of the material and on its secretory performance. By using four model proteins and four different cation formulations to control aggregation, we have here determined a moderate influence of the used cation and a potent impact of some protein properties on the release kinetics and on the final fraction of releasable protein. In particular, the electrostatic charge at the amino terminus and the instability and hydropathicity indexes determine the disintegration profile of the depot. These data offer clues for the fabrication of efficient and fully exploitable secretory granulesthat being biocompatible and chemically homogenous allow their tailored use as drug delivery platforms in biological systems

Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL)

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is an inherited cerebrovascular disease whose key features are recurrent transient ischemic attacks (TIA), strokes, migraine with aura, vascular dementia, and diffuse white matter abnormalities detectable through neuroimaging. The disease results from mutations in the NOTCH3 gene, encoding a transmembrane receptor involved in cellular signaling and fate during embryonic development. Genetic testing is the gold standard for diagnosing this condition, but the syndrome can be suspected clinically based on family history and characteristic findings of white matter changes. Nevertheless, different individual symptom types, onset, and disease severity, even among individuals in the same family, have been increasingly recognized. The molecular mechanisms by which NOTCH3 mutations lead to vascular degeneration remain unclear. Most CADASIL-associated mutations result in either a gain or loss of cysteine residue in one of the 34 EGF-like repeats in the extracellular domain of the Notch3 protein, thus sparing the number of cysteine residues. More than 200 different mutations in the NOTCH3 gene have been reported in CADASIL patients, of which 95% are missense point mutations. Although it has been suggested that some mutations may be associated with a milder or more severe phenotype, so far no clear genotype-phenotype correlation has been found. To date, no disease-modifying treatment is available for this condition

Graph mining for next generation sequencing: leveraging the assembly graph for biological insights

Total genome length estimation for NG50. This spreadsheet file contains the calculation of the average genome lengths for the complete reference sequences available through the NCBI RefSeq database for the most abundant genera in the Crohn’s and healthy data sets. The estimated total genome length is also calculated in this file. (XLSX 21 kb