Migration and differentiation of hematopoietic stem cells in autoimmune mice of different ages

Migration and differentiation of hematopoietic stem cells were studied in autoimmune (NZB×NZW)F₁ mice of different ages. Migration of stem cells was shown to be reduced in old (NZB×NZW)F₁ mice. Irrespective of age, inhibition of differentiation of stem cells along the granuloid path of development was observed in (NZB×NZW)F₁ mice. It is suggested that in (NZB×NZW)F₁ mice there is either a defect of development of the T-lymphocyte subpopulation influencing differentiation of stem cells along the granuloid pathway or a genetic defect at the level of precursors of the granulocyte series (CFU_C).Translated from Byulleten' Éksperimental'noi Biologii i Meditsiny, Vol. 89, No. 2, pp. 224–226, February, 1980.     

Spatial distribution of DNA-synthesizing cells in colonic crypts of the guinea pig

The ascending colon of a guinea pig injected with tritiated thymidine was cut serially, autoradiographed and stained with periodic-acid-Schiff-hematoxylin. Maps of transversely sectioned crypts were prepared with the use of a microscope eye-piece projector. The number and angular positions of pulselabelled (DNA-synthesizing) cells around the circumference of transverse sections of the crypt were recorded. A method of “statistics of the circumference” was applied in order to find the variances of angular distances between labelled cells and thereby to find the type of arrangement of DNA-synthesizinbg cells in the crypt. The spatial distribution of DNA-synthesizing cells, both around the crypt circumference and along the crypt, was found to be non-random. While the pattern of nonrandomness around the crypt circumference is such that the DNA-synthesizing cells tend to occupy positions in the crypt circumference at maximal distances from each other, DNA-synthesizing cells along the crypt tend to occupy positions at minimal distances from each other. DNA-synthesizing cells are arranged in the crypt in rows, each consisting of several cells and each parallel to the long axis of the crypt. Apparently the dividing cell of the crypt produces either two proliferating or two differentiating cells. No evidence of differential mitosis could be found.     

Dependence of cross-bridge kinetics on myosin light chain isoforms in rabbit and rat skeletal muscle fibres

Cross-bridge kinetics underlying stretch-induced force transients was studied in fibres with different myosin light chain (MLC) isoforms from skeletal muscles of rabbit and rat. The force transients were induced by stepwise stretches (< 0.3% of fibre length) applied on maximally Ca²⁺-activated skinned fibres. Fast fibre types IIB, IID (or IIX) and IIA and the slow fibre type I containing the myosin heavy chain isoforms MHC-IIb, MHC-IId (or MHC-IIx), MHC-IIa and MHC-I, respectively, were investigated. The MLC isoform content varied within fibre types. Fast fibre types contained the fast regulatory MLC isoform MLC2f and different proportions of the fast alkali MLC isoforms MLC1f and MLC3f. Type I fibres contained the slow regulatory MLC isoform MLC2s and the slow alkali MLC isoform MLC1s. Slow MLC isoforms were also present in several type IIA fibres. The kinetics of force transients differed by a factor of about 30 between fibre types (order from fastest to slowest kinetics: IIB > IID > IIA ≫ I). The kinetics of the force transients was not dependent on the relative content of MLC1f and MLC3f. Type IIA fibres containing fast and slow MLC isoforms were about 1.2 times slower than type IIA fibres containing only fast MLC isoforms. We conclude that while the cross-bridge kinetics is mainly determined by the MHC isoforms present, it is affected by fast and slow MLC isoforms but not by the relative content of MLC1f and MLC3f. Thus, the physiological role of fast and slow MLC isoforms in type IIA fibres is a fine-tuning of the cross-bridge kinetics.     

Specific Composition of Lecithins in Ginseng Root Cell Culture

Pharmaceutical Chemistry Journal -     

SnS2 Nanosheets as a Template for 2D SnO2 Sensitive Material: Nanostructure and Surface Composition Effects

Two-dimensional nanosheets of semiconductor metal oxides are considered as promising for use in gas sensors, because of the combination of a large surface-area, high thermal stability and high sensitivity, due to the chemisorption mechanism of gas detection. In this work, 2D SnO₂ nanosheets were synthesized via the oxidation of template SnS₂ nanosheets obtained by surfactant-assisted one-pot solution synthesis. The 2D SnO₂ was characterized using transmission and scanning electron microscopy (TEM, SEM), X-ray diffraction (XRD), low-temperature nitrogen adsorption, X-ray photoelectron spectroscopy (XPS) and IR spectroscopy. The sensor characteristics were studied when detecting model gases CO and NH₃ in dry (RH₂₅ = 0%) and humid (RH₂₅ = 30%) air. The combination of high specific-surface-area and increased surface acidity caused by the presence of residual sulfate anions provides a high 2D SnO₂ sensor’s signal towards NH₃ at a low temperature of 200 °C in dry air, but at the same time causes an inversion of the sensor response when detecting NH₃ in a humid atmosphere. To reveal the processes responsible for sensor-response inversion, the interaction of 2D SnO₂ with ammonia was investigated using diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) in dry and humid air at temperatures corresponding to the maximum “positive” and maximum “negative” sensor response.     

Pulmonary pattern in systemic vasculitis: granulomatosis,lung cancer or both?

As clinical manifestations of systemic vasculitides share many common features with other conditions, the rate of diagnostic errors and delayed diagnoses is high. Hence we performed an analysis of the available data regarding misdiagnosis of vasculitis as lung cancer and vice versa, as well as coexistence of vasculitis and lung cancer. The present case-based review highlights the diagnostic challenges encountered when granulomatosis with polyangiitis (GPA) mimics lung cancer. The importance of a multidisciplinary team approach to patients with pulmonary involvement and multisystem manifestations is essential for appropriate planning of further diagnostic steps and for minimizing the delay in correct diagnosis and treatment. In the present case, although computed tomography raised suspicion for lung cancer, further biopsies and laboratory screening for systemic vasculitides rejected malignancy and confirmed the diagnosis of GPA.     

De novo mapping of α-helix recognition sites on protein surfaces using unbiased libraries

The α-helix is one of the most common protein surface recognition motifs found in nature, and its unique amide-cloaking properties also enable α-helical polypeptide motifs to exist in membranes. Together, these properties have inspired the development of α-helically constrained (Helicon) therapeutics that can enter cells and bind targets that have been considered “undruggable”, such as protein–protein interactions. To date, no general method for discovering α-helical binders to proteins has been reported, limiting Helicon drug discovery to only those proteins with previously characterized α-helix recognition sites, and restricting the starting chemical matter to those known α-helical binders. Here, we report a general and rapid screening method to empirically map the α-helix binding sites on a broad range of target proteins in parallel using large, unbiased Helicon phage display libraries and next-generation sequencing. We apply this method to screen six structurally diverse protein domains, only one of which had been previously reported to bind isolated α-helical peptides, discovering 20 families that collectively comprise several hundred individual Helicons. Analysis of 14 X-ray cocrystal structures reveals at least nine distinct α-helix recognition sites across these six proteins, and biochemical and biophysical studies show that these Helicons can block protein–protein interactions, inhibit enzymatic activity, induce conformational rearrangements, and cause protein dimerization. We anticipate that this method will prove broadly useful for the study of protein recognition and for the development of both biochemical tools and therapeutics for traditionally challenging protein targets.

Recent advances in identifying human disease targets have not been matched by advances in the ability to drug these targets. This actionability gap is largely due to the fact that neither of the two main classes of approved therapeutics – biologics and small molecules – can simultaneously address target accessibility and selective target engagement. Biologics, despite an impressive ability to engage diverse target proteins, are largely restricted to an extracellular operating theater, as their size and polarity render them unable to cross biological membranes. Small molecules, in contrast, can access the intracellular space, but cannot bind with high affinity and specificity to the vast majority of proteins that are found there (1).This disconnect between the ability to identify disease targets and the ability to drug them with high strength and specificity has created an impetus to develop new classes of drugs – ones that can engage intracellular proteins that lack the deep hydrophobic pocket ordinarily required for small-molecule binding. In nature, such “undruggable” proteins are often targeted with macrocyclic molecules, frequently peptidic in structure, whose large size compared with small molecules enables them to bind with high affinity and specificity to protein surfaces.Significant efforts have been made to elucidate the mechanisms of cell entry for these natural products, which possess molecular weights of 700 to 1,200 Da or higher, well beyond the typical range for cell penetration in small-molecule drug discovery (2). While the mechanisms of cell entry are complex and vary from molecule to molecule, a substantial body of research on peptidic macrocycles has highlighted the importance of desolvating amide protons and reducing their exposure to the membrane interior as a key driver in passive, thermal diffusion across the lipid bilayer (2, 3) – a phenomenon we refer to as amide-proton cloaking. The amide proton, present between every residue in a polypeptide chain, is highly electropositive and forms a strong hydrogen-bonding interaction with water. This poses a substantial hurdle for membrane permeability, since tightly bound solvent water molecules must be shed prior to entering the lipid bilayer. Exposed amide groups incur a further energetic penalty upon membrane entry due to unfavorable electrostatic interactions with the low-dielectric environment of the membrane interior. Consequently, most peptides and proteins are unable to cross membranes.For peptide macrocycles that are able to permeate the membrane, these problematic amide protons are typically removed either by replacing the amide with an ester, replacing it with a methyl group, or cloaking it from solvent water through the formation of intramolecular hydrogen bonds between the amide proton groups and a hydrogen bond-accepting group elsewhere in the molecule, often a carbonyl. Indeed, the paradigmatic example of a natural peptide macrocycle that exhibits robust cytosolic exposure, cyclosporine A (CsA), employs both N-methylation and cloaking through transannular hydrogen bonding (4). Extensive work by several research groups has shown that these strategies can be applied as design principles to endow artificial macrocycles with the ability to cross membranes (5–7).In the context of folded proteins, nature has offered an alternative structural solution to the problem of amide proton cloaking: the α-helix, a protein secondary structure that is defined by repeating intramolecular hydrogen bonds between the amide proton group of one residue and the carbonyl of the amino acid located four residues N terminal to it. The intrinsic ability of α-helices to cloak their own amide protons explains their widespread prevalence in natural transmembrane proteins (8). Nuclear-encoded transmembrane proteins in eukaryotes are almost exclusively α-helical, and the only alternative transmembrane fold found in nature is the bacterially derived β-barrel, a helical structure that also cloaks amide protons via an intramolecular hydrogen bonding network, albeit in a significantly larger structure than single α-helices that is impractical for the development of synthetic drugs.Just as CsA has served as the inspiration for the design of mimetic head-to-tail cyclized peptide ligands, so have proteinaceous α-helices inspired efforts to recapitulate nature’s design features in small, synthetic, α-helically constrained peptides (Helicons) that are hyperstabilized through the incorporation of a structural brace, also known as a “staple” (9–12). One of these, the all-hydrocarbon staple formed by ring-closing metathesis, has been extensively studied and is the basis for a drug candidate that targets the challenging proteins MDM2 and MDMX, currently undergoing Phase II clinical trials (13, 14).Rational design of Helicons is difficult given the inability to systematically define the α-helix binding sites on a protein’s surface, and to identify Helicons that bind to those sites. This limitation has restricted research on Helicons to only those protein targets for which naturally occurring or previously characterized α-helical binders were known, with the Helicons generated from fragments of the known binders (3). Here, we report a rapid, high-throughput screening platform utilizing phage display that enables an unbiased mapping of the α-helical interactome of a given protein without any prior knowledge of its structure or known binding partners. We show that this platform is capable of identifying α-helix binding sites on the surfaces of a range of protein folds, including many for which no α-helical binders are known to exist. Helicons that bind these sites are able to impact diverse protein functions, including inhibiting protein–protein interactions, inhibiting enzymatic activity, inducing dimerization, and inducing conformational changes. Analysis of 14 high-resolution crystal structures of Helicon–protein complexes across six different protein domains reveals a range of binding modes, all of which are “side-on”, i.e., mediated exclusively by Helicon side-chains rather than involving main chain amide interactions. This screening platform significantly expands the universe of proteins that can be bound by Helicons, and furthers the pursuit of targeting undruggable proteins.     

Identification of Nordic Berries with Beneficial Effects on Cognitive Outcomes and Gut Microbiota in High-Fat-Fed Middle-Aged C57BL/6J Mice

High-fat diets are associated with neuronal and memory dysfunction. Berries may be useful in improving age-related memory deficits in humans, as well as in mice receiving high-fat diets. Emerging research has also demonstrated that brain health and cognitive function may be related to the dynamic changes in the gut microbiota. In this study, the impact of Nordic berries on the brain and the gut microbiota was investigated in middle-aged C57BL/6J mice. The mice were fed high-fat diets (60%E fat) supplemented with freeze-dried powder (6% dwb) of bilberry, lingonberry, cloudberry, blueberry, blackcurrant, and sea buckthorn for 4 months. The results suggest that supplementation with bilberry, blackcurrant, blueberry, lingonberry, and (to some extent) cloudberry has beneficial effects on spatial cognition, as seen by the enhanced performance following the T-maze alternation test, as well as a greater proportion of DCX-expressing cells with prolongation in hippocampus. Furthermore, the proportion of the mucosa-associated symbiotic bacteria Akkermansia muciniphila increased by 4–14 times in the cecal microbiota of mice fed diets supplemented with lingonberry, bilberry, sea buckthorn, and blueberry. These findings demonstrate the potential of Nordic berries to preserve memory and cognitive function, and to induce alterations of the gut microbiota composition.