Genome-wide RNAi screens identify genes required for Ricin and PE intoxications

Protein toxins such as Ricin and Pseudomonas exotoxin (PE) pose major public health challenges. Both toxins depend on host cell machinery for internalization, retrograde trafficking from endosomes to?the ER, and translocation to cytosol. Although both toxins follow a similar intracellular route, it is unknown how much they rely on the same genes. Here we conducted two genome-wide RNAi screens identifying genes required for intoxication and demonstrating that requirements are strikingly different between PE and Ricin, with only 13% overlap. Yet factors required by both toxins are present from the endosomes to the ER, and, at the morphological level, the toxins colocalize in multiple structures. Interestingly, Ricin, but not PE, depends on Golgi complex integrity and colocalizes significantly with a medial Golgi marker. Our data are consistent with two intertwined pathways converging and diverging at multiple points and reveal the complexity of retrograde membrane trafficking in mammalian cells.     

In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes

The human immune system consists of a highly intelligent network of billions of independent, self-organized cells that interact with each other. Machine learning (ML) is an artificial intelligence (AI) tool that automatically processes huge amounts of image data. Immunotherapies have revolutionized the treatment of blood cancer. Specifically, one such therapy involves engineering immune cells to express chimeric antigen receptors (CAR), which combine tumor antigen specificity with immune cell activation in a single receptor. To improve their efficacy and expand their applicability to solid tumors, scientists optimize different CARs with different modifications. However, predicting and ranking the efficacy of different "off-the-shelf" immune products (e.g., CAR or Bispecific T-cell Engager [BiTE]) and selection of clinical responders are challenging in clinical practice. Meanwhile, identifying the optimal CAR construct for a researcher to further develop a potential clinical application is limited by the current, time-consuming, costly, and labor-intensive conventional tools used to evaluate efficacy. Particularly, more than 30 years of immunological synapse (IS) research data demonstrate that T cell efficacy is not only controlled by the specificity and avidity of the tumor antigen and T cell interaction, but also it depends on a collective process, involving multiple adhesion and regulatory molecules, as well as tumor microenvironment, spatially and temporally organized at the IS formed by cytotoxic T lymphocytes (CTL) and natural killer (NK) cells. The optimal function of cytotoxic lymphocytes (including CTL and NK) depends on IS quality. Recognizing the inadequacy of conventional tools and the importance of IS in immune cell functions, we investigate a new strategy for assessing CAR-T efficacy by quantifying CAR IS quality using the glass-support planar lipid bilayer system combined with ML-based data analysis. Previous studies in our group show that CAR-T IS quality correlates with antitumor activities in vitro and in vivo. However, current manually quantified IS quality data analysis is time-consuming and labor-intensive with low accuracy, reproducibility, and repeatability. In this study, we develop a novel ML-based method to quantify thousands of CAR cell IS images with enhanced accuracy and speed. Specifically, we used artificial neural networks (ANN) to incorporate object detection into segmentation. The proposed ANN model extracts the most useful information to differentiate different IS datasets. The network output is flexible and produces bounding boxes, instance segmentation, contour outlines (borders), intensities of the borders, and segmentations without borders. Based on requirements, one or a combination of this information is used in statistical analysis. The ML-based automated algorithm quantified CAR-T IS data correlates with the clinical responder and non-responder treated with Kappa-CAR-T cells directly from patients. The results suggest that CAR cell IS quality can be used as a potential composite biomarker and correlates with antitumor activities in patients, which is sufficiently discriminative to further test the CAR IS quality as a clinical biomarker to predict response to CAR immunotherapy in cancer. For translational research, the method developed here can also provide guidelines for designing and optimizing numerous CAR constructs for potential clinical development.Trial Registration: ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00881920","term_id":"NCT00881920"}}NCT00881920.     

A novel simple satellite DNA is colocalized with the Stalker retrotransposon in Drosophila melanogaster heterochromatin

In the T(1;2)dor ^var7 multibreak rearrangement the distal 1A-2B segment of the X chromosome of Drosophila melanogaster is juxtaposed to an inverted portion of the heterochromatin of chromosome 2. Analysis of mitotic chromosomes by a series of banding techniques has permitted us precisely to locate the heterochromatic breakpoint of this translocation in the h42 region of 2R. Cloning and sequencing of the eu-heterochromatic junction revealed that the translocated 1A-2B fragment is joined to (AACAC)_n repeats, which represent a previously undescribed satellite DNA in D. melanogaster. These repeated sequences have been estimated to account for about 1 Mb of the D. melanogaster genome. The repeats are located mainly in the Y chromosome and in the heterochromatin of the right arm of chromosome 2 (2Rh), where they are colocalized with the Stalker retrotransposon. Received: 3 October 1998 / Accepted: 3 December 1998     

The Barnes Maze Task Reveals Specific Impairment of Spatial Learning Strategy in the Intrahippocampal Kainic Acid Model for Temporal Lobe Epilepsy

Neurochemical Research - Temporal lobe epilepsy (TLE) is an acquired form of focal epilepsy, in which patients not only suffer from unprovoked, devastating seizures, but also from severe...     

Structural,Functional, and Evolutionary Analysis of the Unusually Large Stilbene Synthase Gene Family in Grapevine

Stilbenes are a small family of phenylpropanoids produced in a number of unrelated plant species, including grapevine (Vitis vinifera). In addition to their participation in defense mechanisms in plants, stilbenes, such as resveratrol, display important pharmacological properties and are postulated to be involved in the health benefits associated with a moderate consumption of red wine. Stilbene synthases (STSs), which catalyze the biosynthesis of the stilbene backbone, seem to have evolved from chalcone synthases (CHSs) several times independently in stilbene-producing plants. STS genes usually form small families of two to five closely related paralogs. By contrast, the sequence of grapevine reference genome (cv PN40024) has revealed an unusually large STS gene family. Here, we combine molecular evolution and structural and functional analyses to investigate further the high number of STS genes in grapevine. Our reannotation of the STS and CHS gene families yielded 48 STS genes, including at least 32 potentially functional ones. Functional characterization of nine genes representing most of the STS gene family diversity clearly indicated that these genes do encode for proteins with STS activity. Evolutionary analysis of the STS gene family revealed that both STS and CHS evolution are dominated by purifying selection, with no evidence for strong selection for new functions among STS genes. However, we found a few sites under different selection pressures in CHS and STS sequences, whose potential functional consequences are discussed using a structural model of a typical STS from grapevine that we developed.Plants produce a vast array of secondary metabolites, many of them being restricted to specific groups of plant species. This extraordinary chemical diversity is believed to have evolved from a limited number of ubiquitous biosynthetic pathways through gene duplication followed by functional divergence (Pichersky and Gang, 2000). The phenylpropanoid pathway, derived from Phe, illustrates perfectly this phenomenon, as it gives rise to a large diversity of phenolic compounds playing key roles in plants, including participation in structural polymers, defense against herbivores and pathogens, protection from abiotic stress, and important functions in plant-pollinator interactions. Stilbenes are a small family of phenylpropanoids produced in a number of unrelated plant species, including dicotyledon angiosperms such as grapevine (Vitis vinifera), peanut (Arachis hypogaea), and Japanese knotweed (Fallopia japonica, formerly Polygonum cuspidatum), monocotyledons like sorghum (Sorghum bicolor), and gymnosperms such as several Pinus and Picea species. In addition to their participation in both constitutive and inducible defense mechanisms in plants, several stilbenes display important pharmacological properties. Since resveratrol (3,5,4′-trihydroxy-trans-stilbene) was postulated to be involved in the health benefits associated with a moderate consumption of red wine (Renaud and de Lorgeril, 1992), plant stilbenes have received considerable interest. Nowadays, resveratrol ranks among the most extensively studied natural products, and hundreds of studies have shown that it can slow the progression of a wide variety of illnesses, including cancer and cardiovascular disease, as well as extend the life spans of various organisms (Baur and Sinclair, 2006). Stilbene synthases (STSs) are characteristic of stilbene-producing plants and catalyze the biosynthesis of the stilbene backbone from three malonyl-CoA and one CoA-ester of a cinnamic acid derivative. STSs are members of the type III polyketide synthases family, chalcone synthases (CHSs), which catalyze the first step of flavonoid biosynthesis, being the most ubiquitous polyketide synthase in plants. Both CHS and STS use p-coumaroyl-CoA and malonyl-CoA as substrates and synthesize the same linear tetraketide intermediate. However, STS uses a specific cyclization mechanism involving a decarboxylation to form the stilbene backbone. STS proteins share extensive amino acid sequence identity with CHS, and phylogenetic analysis of the STS and CHS gene families has shown that STS genes may have evolved from CHS genes several times independently (Tropf et al., 1994). In most stilbene-producing plants, STS genes form small families of closely related paralogs. For example, two STS cDNAs have been cloned from peanut (Schröder et al., 1988), the genome of Scots pine (Pinus sylvestris) has been shown to contain a small family of four STS genes (Preisig-Müller et al., 1999), and three STS genes have been characterized in Japanese red pine (Pinus densiflora; Kodan et al., 2002). Only one STS gene has been isolated from Japanese knotweed to date (Liu et al., 2011), and the sequencing of sorghum genome has shown that SbSTS1 was the only STS gene in this plant species (Yu et al., 2005; Paterson et al., 2009). Grapevine is a noteworthy exception among stilbene-producing plants, as its genome has been shown to contain a large family of putative STS genes. Early Southern-blot experiments suggested that the grapevine genome contained more than 20 STS genes (Sparvoli et al., 1994). Analyses of the first drafts of the grapevine genome sequence confirmed the large size of this multigene family, with an estimated number of STS genes ranging from 21 to 43 (Jaillon et al., 2007; Velasco et al., 2007). However, these relatively low-coverage sequence drafts did not allow a precise analysis of large families of highly similar genes. The more recently released 12× genome sequence of grapevine inbred Pinot Noir cultivar PN40024 offered an improved sequence quality, allowing an accurate analysis of the STS gene family. In this work, we take advantage of the improved 12× sequence of the grapevine ‘PN40024’ genome to analyze the grapevine STS gene family. Furthermore, we combine molecular evolution to structural and functional analyses to gain more insight into the significance of the remarkable amplification of the STS family in grapevine.     

Synthesis and structural characterization of neutral “3 + 2” oxorhenium and oxotechnetium complexes of the 2-mercaptoethyl-N-glycine (SNO)/2,2′-bipyridine (NN) mixed ligand system

Neutral, hexacoordinated “3 + 2” mixed ligand oxorhenium (1) and oxotechnetium (2) complexes of the general formula MO[SNO][NN], where M = Re or ⁹⁹Tc, SNO is 2-mercaptoethyl-N-glycine and NN is 2,2′-bipyridine (bpy), were synthesized by simultaneous action of the tridentate SNO and the bidentate NN ligand on ReOCl₃(PPh₃)₂ or ⁹⁹TcO-gluconate precursors in a 1:1:1 molar ratio. Both complexes were characterized by elemental analysis, IR and NMR spectroscopy. X-ray structure determination of rhenium complex 1 revealed a distorted octahedral coordination geometry where the SNO donor atoms of the tridentate ligand and one bpy nitrogen atom occupy the equatorial positions of the octahedron, whereas the second bpy nitrogen atom and the oxo-group fill the apical positions.     

Efficacy of transfer factor in treating patients with recurrent ocular herpes infections

Recurrent ocular herpes is an insoluble problem for the clinician. As cellular immunity plays an important role in controlling herpes relapses, and other studies have shown the efficacy of HSV-specific transfer factor (TF) for the treatment of herpes patients, an open clinical trial was undertaken in 134 patients (71 keratitis, 29 kerato-uveitis, 34 uveitis) suffering from recurrent ocular herpetic infections. The mean duration of the treatment was 358 days, and the entire follow-up period 189121 before, and 64062 days after TF treatment. The cell-mediated immune response to the viral antigens, evaluated by the lymphocyte stimulation test (LST) and the leucocyte migration test (LMT) (P<0.001), was significantly increased by the TF treatment. The total number of relapses was decreased significantly during/after TF treatment, dropping from 832 before, to 89 after treatment, whereas the cumulative relapse index (RI) dropped, during the same period, from 13.2 to 4.17 (P<0.0001). No side effects were observed. It is concluded that patients with relapsing ocular herpes can benefit from treatment with HSV-specific TF.     

Insect-Inspired Navigation Algorithm for an Aerial Agent Using Satellite Imagery

Humans have long marveled at the ability of animals to navigate swiftly, accurately, and across long distances. Many mechanisms have been proposed for how animals acquire, store, and retrace learned routes, yet many of these hypotheses appear incongruent with behavioral observations and the animals’ neural constraints. The “Navigation by Scene Familiarity Hypothesis” proposed originally for insect navigation offers an elegantly simple solution for retracing previously experienced routes without the need for complex neural architectures and memory retrieval mechanisms. This hypothesis proposes that an animal can return to a target location by simply moving toward the most familiar scene at any given point. Proof of concept simulations have used computer-generated ant’s-eye views of the world, but here we test the ability of scene familiarity algorithms to navigate training routes across satellite images extracted from Google Maps. We find that Google satellite images are so rich in visual information that familiarity algorithms can be used to retrace even tortuous routes with low-resolution sensors. We discuss the implications of these findings not only for animal navigation but also for the potential development of visual augmentation systems and robot guidance algorithms.     

Mn/Fe superoxide dismutase interaction fingerprints and prediction of oligomerization and metal cofactor from sequence

Fe- and Mn-containing superoxide dismutase (sod) enzymes are closely related and similar in both amino acid sequence and structure, but differ in their mode of oligomerization and in their specificity for the Fe or Mn cofactor. The goal of the present work is to identify and analyze the sequence and structure characteristics that ensure the cofactor specificities and the oligomerization modes. For that purpose, 374 sod sequences and 17 sod crystal structures were collected and aligned. These alignments were searched for residues and inter-residue interactions that are conserved within the whole sod family, or alternatively, that are specific to a given sod subfamily sharing common characteristics. This led us to define key residues and inter-residue interaction fingerprints in each subfamily. The comparison of these fingerprints allows, on a rational basis, the design of mutants likely to modulate the activity and/or specificity of the target sod, in good agreement with the available experimental results on known mutants. The key residues and interaction fingerprints are furthermore used to predict if a novel sequence corresponds to a sod enzyme, and if so, what type of sod it is. The predictions of this fingerprint method reach much higher scores and present much more discriminative power than the commonly used method that uses pairwise sequence comparisons.