CAR Gene Delivery by T-cell Targeted Lentiviral Vectors is Enhanced by Rapamycin Induced Reduction of Antiviral Mechanisms

Lentiviral vectors (LV) have become the dominant tool for stable gene transfer into lymphocytes including chimeric antigen receptor (CAR) gene delivery to T cells, a major breakthrough in cancer therapy. Yet, room for improvement remains, especially for the latest LV generations delivering genes selectively into T cell subtypes, a key requirement for in vivo CAR T cell generation. Toward improving gene transfer rates with these vectors, whole transcriptome analyses on human T lymphocytes are conducted after exposure to CAR-encoding conventional vectors (VSV-LV) and vectors targeted to CD8+ (CD8-LV) or CD4+ T cells (CD4-LV). Genes related to quiescence and antiviral restriction are found to be upregulated in CAR-negative cells exposed to all types of LVs. Down-modulation of various antiviral restriction factors, including the interferon-induced transmembrane proteins (IFITMs) is achieved with rapamycin as verified by mass spectrometry (LC-MS). Strikingly, rapamycin enhances transduction by up to 7-fold for CD8-LV and CD4-LV without compromising CAR T cell activities but does not improve VSV-LV. When administered to humanized mice, CD8-LV results in higher rates of green fluorescent protein (GFP) gene delivery. Also in vivo CAR T cell generation is improved in kinetics and tumor control, however to a moderate extent, leaving room for improvement by optimizing the rapamycin administration schedule. The data favor multi-omics approaches for improvements in gene delivery.

Regulatory Considerations for Clinical Trial Applications with CRISPR-Based Medicinal Products

Since first proposed as a new tool for gene targeting and genome editing, CRISPR technology has quickly advanced into the clinical stage. Initial studies highlight the potential for CRISPR-Cas9-mediated therapeutic approaches in human medicine to correct incurable genetic diseases and enhance cell-based therapeutic approaches. While acknowledging the opportunities this technology brings for the treatment of patients with severe diseases, timely development of these innovative medicinal products requires regulatory oversight and adaptation of regulatory requirements to ensure the safety and efficacy of medicinal products based on CRISPR technology. We briefly present the current regulatory framework applicable for CRISPR-Cas-based developments as advanced therapy medicinal products. Moreover, scientific- and regulatory-driven considerations relevant for advancing product development toward clinical trial applications in Germany are highlighted by discussing the key aspects of quality and nonclinical and clinical development requirements.

An Evaluation of Hepatitis E Virus Molecular Typing Methods

BACKGROUND

Hepatitis E virus (HEV) is a major cause of acute viral hepatitis. Better understanding of HEV subtypes involved in hepatitis E infections is essential. Investigation of sources and routes of transmission and the identification of potential clusters/outbreaks rely upon molecular typing of viral strains. A study was carried out to evaluate the ability of laboratories to undertake molecular typing with genotype and subtype determination.

METHODS

A blinded panel of 11 different Orthohepevirus A strains was distributed to 28 laboratories performing HEV sequence analysis. Laboratories used their routine HEV sequencing and genotyping methods.

RESULTS

Results were returned by 25 laboratories. Overall, 93% samples were assigned to the correct genotype and 81% were assigned to the correct subtype. Fragments amplified for typing ranged in size and the sequencing assays targeted both the structural and non-structural protein-coding regions. There was good agreement between the reported sequences where methods targeted overlapping fragments. In some cases, incorrect genotypes/subtypes were reported, including those not contained in the panel, and in one case, a genotype was reported for a blinded control sample containing Zika virus; collectively these data indicate contamination problems.

CONCLUSIONS

In general, identification of genotypes was good; however, in a small number of cases, there was a failure to generate sequences from some of the samples. There was generally broad agreement between the use of online typing tools such as the one provided by HEVnet and curated lists of published HEV reference sequences; however, going forward harmonization between these resources is essential.

SAMHD1 in cancer: curse or cure?

Human sterile α motif and HD domain-containing protein 1 (SAMHD1), originally described as the major cellular deoxyribonucleoside triphosphate triphosphohydrolase (dNTPase) balancing the intracellular deoxynucleotide (dNTP) pool, has come recently into focus of cancer research. As outlined in this review, SAMHD1 has been reported to be mutated in a variety of cancer types and the expression of SAMHD1 is dysregulated in many cancers. Therefore, SAMHD1 is regarded as a tumor suppressor in certain tumors. Moreover, it has been proposed that SAMHD1 might fulfill the requirements of a driver gene in tumor development or might promote a so-called mutator phenotype. Besides its role as a dNTPase, several novel cellular functions of SAMHD1 have come to light only recently, including a role as negative regulator of innate immune responses and as facilitator of DNA end resection during DNA replication and repair. Therefore, SAMHD1 can be placed at the crossroads of various cellular processes. The present review summarizes the negative role of SAMHD1 in chemotherapy sensitivity, highlights reported SAMHD1 mutations found in various cancer types, and aims to discuss functional consequences as well as underlying mechanisms of SAMHD1 dysregulation potentially involved in cancer development.

Abstract 5170: Linking tumor evolution and therapy response using diagnostic targeted next generation sequencing in colorectal cancer

Complex sets of driver mutations critically control clinical course and treatment response in colorectal cancer (CRC). It is expected that multiple mutations in different signaling pathways interact to establish an individual cancer cell phenotype. Furthermore, mutational patterns can evolve under selective pressure, for instance during tumor metastasis or targeted therapy. Yet only few mutations, such as these in KRAS, NRAS and BRAF, are routinely assessed in the clinic today. With the introduction of next generation sequencing (NGS) many more genes can be simultaneously sequenced, allowing detailed analyses of mutational patterns.

We have assembled the CRC5.2 NGS panel for application with Ion Torrent PGM covering 100 frequently mutated genes with 784 amplicons (covering 21,000 COSMIC mutations), going well beyond the scope of commercially available cancer panels. In particular, exon coverage was optimized to embrace all genomic information related to drug sensitivity, using several drug and signaling network databases.

The German Consortium for Translational Cancer Research (DKTK) comprises the top cancer centers in Germany. As a part of this group, we employ our custom CRC5.2 panel for the analysis of mutational patterns in CRC. We address several key questions relevant for current diagnostics and treatment in colorectal cancer. In retrospective and prospective clinical studies, we assess mutational heterogeneity in primary tumors, synchronous and metachronous metastases of individual patients. In-depth NGS mutational analyses, transcriptome analysis and methylation studies will identify (epi-)genetic alterations occurring as a consequence of selective pressure during tumor evolution e.g. during metastasis, chemotherapy or targeted tumor therapy. Thus, we will uncover new links between cancer-specific mutations, clinical course and treatment response as well as novel mechanisms of secondary resistance. In addition we aim to identify novel predictive and prognostic mutational markers for the benefit of future CRC patients

Citation Format: Soulafa Mamlouk, Liam Childs, Thorben Redmer, Pawel Durek, Dirk Schumacher, Hendrik Bläker, Daniela Aust, Moritz von Winterfeld, Volker Heinemann, Dominik Modest, Kerstin Möhr, Markus Morkel, Reinhold Schäfer, Christine Sers. Linking tumor evolution and therapy response using diagnostic targeted next generation sequencing in colorectal cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5170. doi:10.1158/1538-7445.AM2014-5170

Identification of cis-elements conferring high levels of gene expression in non-green plastids

Although our knowledge about the mechanisms of gene expression in chloroplasts has increased substantially over the past decades, next to nothing is known about the signals and factors that govern expression of the plastid genome in non-green tissues. Here we report the development of a quantitative method suitable for determining the activity of cis-acting elements for gene expression in non-green plastids. The in vivo assay is based on stable transformation of the plastid genome and the discovery that root length upon seedling growth in the presence of the plastid translational inhibitor kanamycin is directly proportional to the expression strength of the resistance gene nptII in transgenic tobacco plastids. By testing various combinations of promoters and translation initiation signals, we have used this experimental system to identify cis-elements that are highly active in non-green plastids. Surprisingly, heterologous expression elements from maize plastids were significantly more efficient in conferring high expression levels in root plastids than homologous expression elements from tobacco. Our work has established a quantitative method for characterization of gene expression in non-green plastid types, and has led to identification of cis-elements for efficient plastid transgene expression in non-green tissues, which are valuable tools for future transplastomic studies in basic and applied research.

Local absence of secondary structure permits translation of mRNAs that lack ribosome-binding sites

The initiation of translation is a fundamental and highly regulated process in gene expression. Translation initiation in prokaryotic systems usually requires interaction between the ribosome and an mRNA sequence upstream of the initiation codon, the so-called ribosome-binding site (Shine-Dalgarno sequence). However, a large number of genes do not possess Shine-Dalgarno sequences, and it is unknown how start codon recognition occurs in these mRNAs. We have performed genome-wide searches in various groups of prokaryotes in order to identify sequence elements and/or RNA secondary structural motifs that could mediate translation initiation in mRNAs lacking Shine-Dalgarno sequences. We find that mRNAs without a Shine-Dalgarno sequence are generally less structured in their translation initiation region and show a minimum of mRNA folding at the start codon. Using reporter gene constructs in bacteria, we also provide experimental support for local RNA unfoldedness determining start codon recognition in Shine-Dalgarno–independent translation. Consistent with this, we show that AUG start codons reside in single-stranded regions, whereas internal AUG codons are usually in structured regions of the mRNA. Taken together, our bioinformatics analyses and experimental data suggest that local absence of RNA secondary structure is necessary and sufficient to initiate Shine-Dalgarno–independent translation. Thus, our results provide a plausible mechanism for how the correct translation initiation site is recognized in the absence of a ribosome-binding site.

Protein biosynthesis (translation) is a highly regulated process in gene expression. In all organisms, initiation of translation depends on molecular recognition of the messenger RNA by ribosomes. In prokaryotes (bacteria, mitochondria, and chloroplasts), this recognition is mediated by a specific sequence motif in the 5′ untranslated region of the mRNA, called “ribosome-binding site” or “Shine-Dalgarno sequence.” However, many messenger RNAs lack Shine-Dalgarno sequences, and it is currently unknown how the correct translation initiation site is recognized in these mRNAs. Here, we provide insights into the mechanism of translation initiation in the absence of a ribosome-binding site. We have performed genome-wide searches for Shine-Dalgarno–independent translation in bacterial and organellar genomes and report that a large fraction of transcripts is translated in a Shine-Dalgarno–independent manner in all prokaryotic systems. We find that Shine-Dalgarno–independent translation initiation is strongly correlated with the presence of a local minimum in RNA secondary structure around the translational start codon. The significance of RNA unfoldedness as the key determinant of start codon recognition in Shine-Dalgarno–independent translation initiation was confirmed experimentally by employing reporter gene fusions in the bacterium Escherichia coli. In conclusion, our work suggests an intriguing mechanism for translation initiation on mRNAs that lack a ribosome-binding site.

SLocX: Predicting Subcellular Localization of Arabidopsis Proteins Leveraging Gene Expression Data

Despite the growing volume of experimentally validated knowledge about the subcellular localization of plant proteins, a well performing in silico prediction tool is still a necessity. Existing tools, which employ information derived from protein sequence alone, offer limited accuracy and/or rely on full sequence availability. We explored whether gene expression profiling data can be harnessed to enhance prediction performance. To achieve this, we trained several support vector machines to predict the subcellular localization of Arabidopsis thaliana proteins using sequence derived information, expression behavior, or a combination of these data and compared their predictive performance through a cross-validation test. We show that gene expression carries information about the subcellular localization not available in sequence information, yielding dramatic benefits for plastid localization prediction, and some notable improvements for other compartments such as the mitochondrion, the Golgi, and the plasma membrane. Based on these results, we constructed a novel subcellular localization prediction engine, SLocX, combining gene expression profiling data with protein sequence-based information. We then validated the results of this engine using an independent test set of annotated proteins and a transient expression of GFP fusion proteins. Here, we present the prediction framework and a website of predicted localizations for Arabidopsis. The relatively good accuracy of our prediction engine, even in cases where only partial protein sequence is available (e.g., in sequences lacking the N-terminal region), offers a promising opportunity for similar application to non-sequenced or poorly annotated plant species. Although the prediction scope of our method is currently limited by the availability of expression information on the ATH1 array, we believe that the advances in measuring gene expression technology will make our method applicable for all Arabidopsis proteins.

Robin: an intuitive wizard application for R-based expression microarray quality assessment and analysis

The wide application of high-throughput transcriptomics using microarrays has generated a plethora of technical platforms, data repositories, and sophisticated statistical analysis methods, leaving the individual scientist with the problem of choosing the appropriate approach to address a biological question. Several software applications that provide a rich environment for microarray analysis and data storage are available (e.g. GeneSpring, EMMA2), but these are mostly commercial or require an advanced informatics infrastructure. There is a need for a noncommercial, easy-to-use graphical application that aids the lab researcher to find the proper method to analyze microarray data, without this requiring expert understanding of the complex underlying statistics, or programming skills. We have developed Robin, a Java-based graphical wizard application that harnesses the advanced statistical analysis functions of the R/BioConductor project. Robin implements streamlined workflows that guide the user through all steps of two-color, single-color, or Affymetrix microarray analysis. It provides functions for thorough quality assessment of the data and automatically generates warnings to notify the user of potential outliers, low-quality chips, or low statistical power. The results are generated in a standard format that allows ready use with both specialized analysis tools like MapMan and PageMan and generic spreadsheet applications. To further improve user friendliness, Robin includes both integrated help and comprehensive external documentation. To demonstrate the statistical power and ease of use of the workflows in Robin, we present a case study in which we apply Robin to analyze a two-color microarray experiment comparing gene expression in tomato (Solanum lycopersicum) leaves, flowers, and roots.

Identification and classification of ncRNA molecules using graph properties

The study of non-coding RNA genes has received increased attention in recent years fuelled by accumulating evidence that larger portions of genomes than previously acknowledged are transcribed into RNA molecules of mostly unknown function, as well as the discovery of novel non-coding RNA types and functional RNA elements. Here, we demonstrate that specific properties of graphs that represent the predicted RNA secondary structure reflect functional information. We introduce a computational algorithm and an associated web-based tool (GraPPLE) for classifying non-coding RNA molecules as functional and, furthermore, into Rfam families based on their graph properties. Unlike sequence-similarity-based methods and covariance models, GraPPLE is demonstrated to be more robust with regard to increasing sequence divergence, and when combined with existing methods, leads to a significant improvement of prediction accuracy. Furthermore, graph properties identified as most informative are shown to provide an understanding as to what particular structural features render RNA molecules functional. Thus, GraPPLE may offer a valuable computational filtering tool to identify potentially interesting RNA molecules among large candidate datasets.

Randomized trial comparing the effects of one set vs two sets of resistance exercises for outpatients with chronic low back pain and leg pain

AIM

Progressive resistance exercises (PRE) are prescribed to reverse the deconditioning associated with chronic back pain. The spine rehabilitation program has utilized 2 sets of progressive resistance exercises during each session, with increased resistance between sets, and with successive sessions. Exercise literature has challenged the need for multiple sets of resistance exercises, with a single set producing similar functional benefits. The authors studied whether completing 1 versus 2 sets of resistance exercises would affect strength, pain and disability outcomes in subjects with chronic low back pain (CLBP).

METHODS

The study randomly assigned subjects with CLBP to perform either 1 set or 2 sets of progressive resistance exercises during otherwise identical spine rehabilitation programs. The patient sample included 100 subjects (36 male patients, 64 female patients, mean age 46 years) with chronic back pain referred to spine rehabilitation. Primary outcomes were back strength and progressive isoinertial lifting evaluation (PILE) at discharge. Secondary outcomes were Oswestry disability (0-100) and pain scores (0-10). Exercises consisted of Cybex back extension, rotary torso, pull downs, and multi-hip; lifting of crates from floor-to-waist (lumbar) and waist-to-shoulder (cervical) heights. The maximum levels of exercises were determined using a four repetition to maximum protocol, and the PILE.

RESULTS

At discharge, there was no significant difference in strength, disability or pain measures between subjects completing 1 versus 2 sets of resistance exercises.

CONCLUSION

These findings suggest that there were no added benefits for completing a second set of resistance exercises during therapy sessions for patients with CLBP.

Production of cloned pigs from in vitro systems

Here we describe a procedure for cloning pigs by the use of in vitro culture systems. Four healthy male piglets from two litters were born following nuclear transfer of cultured somatic cells and subsequent embryo transfer. The initiation of five additional pregnancies demonstrates the reproducibility of this procedure. Its important features include extended in vitro culture of fetal cells preceding nuclear transfer, as well as in vitro maturation and activation of oocytes and in vitro embryo culture. The cell culture and nuclear transfer techniques described here should allow the use of genetic modification procedures to produce tissues and organs from cloned pigs with reduced immunogenicity for use in xenotransplantation.

Low back and cervical spine disorders

Neck and back pain are common work-related complaints. The natural history of these symptoms favors rapid recovery. Medical management of workers with these complaints relies on carefully managing this natural history, while attempting to minimize the resulting disability. Medical advice should focus on decreasing patients' fears and encouraging a rapid return to function (including work) as acute pain symptoms improve. Interventions should be as limited as possible and promote self care. Patients with radicular symptoms may require additional interventions but, there, too, the natural history is favorable. Surgery may be necessary in a small percentage of patients with catastrophic and severe neurologic symptoms or persistent, severe pain. Chronic neck and back pain symptoms are commonly encountered. Medical and reversible causes of pain should be sought in such patients. When none is found, interventions aimed at maximizing back and neck function and improving tolerance for physical activities may be beneficial in returning these workers to productive lifestyles.

Actinobacillus suis infections in Alberta swine, 1973--75: pathology and bacteriology

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