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PubMed2002

Pathogenesis, Therapy, and Prevention of Meningococcal Sepsis.

Neisseria meningitidis (meningococcus), an exclusive pathogen of humans, is the cause of sepsis (meningococcemia) and meningitis, often in otherwise healthy individuals. Several hundred thousand cases of meningococcal disease occur worldwide each year, a number that is frequently accentuated by epidemic outbreaks. In recent years, significant advances, fueled by new molecular approaches and genome sequencing projects, have improved our understanding of the pathogenesis of meningococcal disease and have led to progress in the development of the next generation of meningococcal vaccines. However, the mortality of meningococcal disease remains 10% to 15% for all cases, and is up to 40% in patients with severe sepsis. This review summarizes current knowledge of the pathogenesis, therapy, and prevention of meningococcal disease with emphasis on meningococcal sepsis.

Journal Article↗

PubMed2003

Information processing, dimensionality reduction and reinforcement learning in the basal ganglia.

Modeling of the basal ganglia has played a major role in our understanding of this elusive group of nuclei. Models of the basal ganglia have undergone evolutionary and revolutionary changes over the last 20 years, as new research in the fields of anatomy, physiology and biochemistry of these nuclei has yielded new information. Early models dealt with a single pathway through the nuclei and focused on the nature of the processing performed within it, convergence of information versus parallel processing of information. Later, the Albin-DeLong "box-and-arrow" model characterized the inter-nuclei interaction as multiple pathways while maintaining a simplistic scalar representation of the nuclei themselves. This model made a breakthrough by providing key insights into the behavior of these nuclei in hypo- and hyper-kinetic movement disorders. The next generation of models elaborated the intra-nuclei interactions and focused on the role of the basal ganglia in action selection and sequence generation which form the most current consensus regarding basal ganglia function in both normal and pathological conditions. However, new findings challenge these models and point to a different neural network approach to information processing in the basal ganglia. Here, we take an in-depth look at the reinforcement driven dimensionality reduction (RDDR) model which postulates that the basal ganglia compress cortical information according to a reinforcement signal using optimal extraction methods. The model provides new insights and experimental predictions on the computational capacity of the basal ganglia and their role in health and disease.

Animals↗

PubMed2025

Structures of respiratory syncytial virus G bound to broadly reactive antibodies provide insights into vaccine design.

Respiratory syncytial virus (RSV) is a leading cause of severe lower respiratory tract disease in infants and older adults. The attachment glycoprotein (RSV G) binds to the chemokine receptor CX3CR1 to promote viral entry and modulate host immunity. Antibodies against RSV G are a known correlate of protection. Previously, several broadly reactive, high-affinity anti-RSV G human monoclonal antibodies were isolated from RSV-exposed individuals and were shown to be protective in vitro and in vivo. Here, we determined the structures of three of these antibodies in complex with RSV G and defined distinct conformational epitopes comprised of highly conserved RSV G residues. Binding competition and structural studies demonstrated that this highly conserved region displays two non-overlapping antigenic sites. Analyses of anti-RSV G antibody sequences reveal that antigenic site flexibility may promote the elicitation of diverse antibody germlines. Together, these findings provide a foundation for next-generation RSV prophylactics, and they expand concepts in vaccine design for the elicitation of germline lineage-diverse, broadly reactive, high-affinity antibodies.

Humans↗

PubMed2026

The Novel Hypomethylating Agent NTX-301 Reprograms Epigenetic and Hippo Signaling Pathways and Exhibits Preclinical Activity in Venetoclax-Resistant and TP53-Mutant AML.

PURPOSE: Hypomethylating agent (HMA) and the BCL-2 inhibitor venetoclax (VEN) combinations have evolved into first-line therapies for patients with acute myeloid leukemia (AML), yielding high response rates. However, most patients ultimately relapse, particularly those with TP53 mutations. We investigated mechanisms of action and therapeutic efficacy of NTX-301, a next-generation HMA. EXPERIMENTAL DESIGN: Methods used include flow cytometry-based cell viability assays, Western blotting, reverse-phase protein arrays, RNA sequencing, Cytometry by Time-Of-Flight single-cell mass cytometry, and methylation profiling in various therapy-resistant AML models. RESULTS: We demonstrate that NTX-301 exhibits superior efficacy compared with 5-azacytidine (5-AZA) in 5-AZA- or VEN-resistant AML. It synergizes with VEN in VEN- or VEN/HMA-resistant and TP53-mutant AML blasts and stem/progenitor cells (combination index <1). NTX-301 inhibits DNA methyltransferase 1 (DNMT1) and increases p73 and caspase 8 (CASP8)/activated CASP8 levels in TP53 wild-type and TP53-mutant AML and activates p53 signaling. It extends survival (≥45%) in both xenograft and patient-derived xenograft models. Methylation profiling revealed that NTX-301 is a more targeted HMA compared with 5-AZA, enabling suppression of functionally enriched genes/pathways. Pathway analysis of 954 commonly hypomethylated genes showed profoundly greater enrichment of Hippo signaling in NTX-301-treated compared with 5-AZA-treated cells and enrichment of insulin signaling, VEGF pathway, and cell cycle selectively in NTX-301- but not in 5-AZA-treated cells. NTX-301-mediated Hippo signaling was validated at protein levels. CONCLUSIONS: Data suggest that NTX-301 exerts potent antileukemic activities superior to 5-AZA and synergizes with VEN in VEN-resistant and TP53-mutant AML, in part by suppressing DNMT1, inducing DNA damage responses and apoptosis through p53 signaling, and demethylating LATS1/2, thereby activating Hippo signaling.

Humans↗

PubMed1990

Lamarckism and ageing.

Although it is usually assumed that Lamarckian inheritance does not and cannot occur, molecular mechanisms by which non-mutational changes acquired in one generation can be transmitted to the next are now known. These mechanisms involve changes in chromatin structure, rather than changes in DNA base sequence. It is argued that some parentalage effects and Lansing effects may be due to inherited changes in chromatin structure. Methods of testing this idea are suggested.

Aging↗

PubMed1989

Human adenylate kinase deficiency associated with hemolytic anemia. A single base substitution affecting solubility and catalytic activity of the cytosolic adenylate kinase.

Adenylate kinase deficiency in the erythrocyte is a rare genetic disorder associated with hemolytic anemia. To determine the molecular basis of this disorder, we first cloned the normal gene encoding human cytosolic adenylate kinase (AK1) and determined the structure. The gene was 12 kilobase pairs long and was split into 7 exons. The structures of 5'- and 3'-flanking regions were determined by primer extension and RNA blot analysis. The results showed that two species of mRNA with 0.9 and 2.5 kilobases, which differed at the 3'-end portion, were generated by the AK1 gene. Alu sequences were found in the largest intron (intron 5) and in the noncoding region of exon 7. Next, both alleles of the AK1 gene were cloned from DNA of a patient bearing the adenylate kinase deficiency and their nucleotide sequences determined. A transition (C----T) was found in exon 6 on an allele, which resulted in an Arg to Trp (CGG----TGG) substitution at the 128th residue of AK1. Since chicken AK1 is highly homologous to human AK1 with respect to the amino acid sequence, we introduced an Arg to Trp substitution to chicken AK1 at the same position by oligodeoxynucleotide-directed mutagenesis. The mutant chicken AK1 expressed in Escherichia coli showed a reduced catalytic activity as well as a decreased solubility and a change in affinity to phosphocellulose. Thus it was considered that the observed C----T transition was a cause of the decreased AK1 activity of the patient's erythrocyte. Analysis on phosphocellulose chromatography of erythrocyte AK1 of the patient and parents revealed that the patient's mutant allele was derived from the mother.

Adenylate Kinase↗

PubMed1995

Selective oxidative modification and affinity cleavage of pigeon liver malic enzyme by the Cu(2+)-ascorbate system.

Pigeon liver malic enzyme was rapidly inactivated by micromolar concentration of Fe2+ in the presence of ascorbate at neutral pH. The inactivated enzyme was subsequently cleaved by the Fe(2+)-ascorbate system at the chemical bond between Asp258 and Ile259 (Wei, C.H., Chou, W.Y., Huang, S.M., Lin, C.C., and Chang, G.G. (1994) Biochemistry, 33, 7931-7936), which was confirmed by site-specific mutagenesis (Wei, C.H., Chou, W.Y., and Chang, G.G. (1995) Biochemistry 34, 7949-7954). In the present study, at neutral pH, Cu2+ was found to be more reactive in the oxidative modification of malic enzyme and the enzyme was cleaved in a similar manner as Fe2+ did. At acidic pH, however, Fe2+ was found to be ineffective in oxidative modification of the enzyme. Nevertheless, Cu2+ still caused enzyme inactivation and cleaved the enzyme at Asp141-Gly142, Asp194-Pro195, or Asp464-Asp465. Mn2+ and L-malate synergistically protect the enzyme from Cu2+ inactivation at acidic pH. Cu2+ is also a competitive inhibitor versus Mn2+ in the malic enzyme-catalyzed reaction with Ki value 70.3 +/- 5.8 microM. The above results indicated that, in addition to the previously determined Asp258 at neutral pH, Asp141, Asp194, and Asp464 are also the coordination sites for the metal binding of malic enzyme. We suggest that the mechanism of affinity modification and cleavage of malic enzyme by the Cu(2+)-ascorbate system proceed in the following sequence. First, Cu2+ binds with the enzyme at the Mn2+ binding site and reduces to Cu+ by ascorbate. Next, the local oxygen molecules are reduced by Cu+, thereby generating superoxide or other reactive free radicals. These radicals interact with the susceptible essential amino acid residues at the metal-binding site, ultimately causing enzyme inactivation. Finally, the modified enzyme is cleaved into several peptide fragments, allowing the identification of metal site of the enzyme. The pH-dependent different specificities of metal-catalyzed oxidation system may be generally applicable for other enzymes or proteins.

Amino Acid Sequence↗

PubMed2005

The fragment assembly string graph.

We present a concept and formalism, the string graph, which represents all that is inferable about a DNA sequence from a collection of shotgun sequencing reads collected from it. We give time and space efficient algorithms for constructing a string graph given the collection of overlaps between the reads and, in particular, present a novel linear expected time algorithm for transitive reduction in this context. The result demonstrates that the decomposition of reads into kmers employed in the de Bruijn graph approach described earlier is not essential, and exposes its close connection to the unitig approach we developed at Celera. This paper is a preliminary piece giving the basic algorithm and results that demonstrate the efficiency and scalability of the method. These ideas are being used to build a next-generation whole genome assembler called BOA (Berkeley Open Assembler) that will easily scale to mammalian genomes.

Algorithms↗

PubMed2026

Beyond Canonical Neoantigens: Emerging Technologies for Identification of Noncanonical Antigens and Implications for Personalized Cancer Vaccines.

Over the past decade, advances in sequencing technologies and computational pipelines enabled the development of personalized cancer vaccines (PCVs). Current PCV strategies primarily target cancer neoantigens generated by non-synonymous DNA mutations, which can result in altered amino acid sequences capable of eliciting tumor-specific immune responses. More recently, a distinct class of tumor-specific antigens (TSA), termed noncanonical or cryptic antigens, has emerged as an additional source of immunogenic targets. Unlike canonical neoantigens, noncanonical antigens typically cannot be identified by tumor/normal whole-exome sequencing, as they do not arise from classical DNA mutations. Instead, they are often associated with less well recognized and/or aberrant processes in the pathways from DNA to human leukocyte antigen (HLA)-presented peptides. Examples include transposable elements, circular RNA, translation of alternative open reading frames and/or long non-coding RNA, among others. Emerging evidence suggests that noncanonical antigens represent a substantial portion of the tumor-specific immunopeptidome and, similar to canonical neoantigens, are absent during thymic selection and can evade central tolerance and elicit T cell responses. Technological advances have increasingly facilitated the identification of noncanonical antigens. Long-read RNA sequencing reveals noncanonical transcripts by improving transcriptome assembly, while ribosome profiling provides genome-wide maps of actively translated regions, facilitating the discovery of peptides from aberrant translation events. Specialized molecular approaches enable enrichment and sequencing of circular RNAs, and immunopeptidomics using mass spectrometry allows for direct characterization of HLA-presented peptides. Together, these technological advances have led to an increasing interest in prioritizing and targeting noncanonical antigens in the next generation of PCVs. This review provides an overview of the diverse origins of TSAs beyond classical neoantigens and discusses emerging approaches that may enable the integration of these antigens in future clinical trials.

circular RNA↗

PubMed2006

Cell-permeable peptide nucleic acid designed to bind to the 5'-untranslated region of E-cadherin transcript induces potent and sequence-specific antisense effects.

Establishing a general and effective method for regulating gene expression in mammalian systems is important for many aspects of biological and biomedical research. Herein we report the antisense activities of a cell-permeable, guanidine-based peptide nucleic acid (PNA) called GPNA. We show that a GPNA oligomer designed to bind to the transcriptional start-site of human E-cadherin gene induces potent and sequence-specific antisense effects and is less toxic to the cells than the corresponding PNA-polyarginine conjugate. GPNA confers its silencing effect by blocking protein translation. The findings reported in this study provide a molecular framework for designing the next generation cell-permeable nucleic acid mimics for regulating gene expression in live cells and intact organisms.

Base Sequence↗

PubMed2004

Natural product glycorandomization.

glycorandomization is a chemoenzymatic strategy that overcomes the limitations in natural product derivatization associated with both solely chemistry-based approaches or in vivo engineering. In this article we present the basic strategies for glycorandomization development as a next-generation tool in drug discovery.

Carbohydrate Sequence↗

PubMed2023

FLASH-TB: an Application of Next-Generation CRISPR to Detect Drug Resistant Tuberculosis from Direct Sputum.

Offering patients with tuberculosis (TB) an optimal and timely treatment regimen depends on the rapid detection of Mycobacterium tuberculosis (Mtb) drug resistance from clinical samples. Finding Low Abundance Sequences by Hybridization (FLASH) is a technique that harnesses the efficiency, specificity, and flexibility of the Cas9 enzyme to enrich targeted sequences. Here, we used FLASH to amplify 52 candidate genes probably associated with resistance to first- and second-line drugs in the Mtb reference strain (H37Rv), then detect drug resistance mutations in cultured Mtb isolates, and in sputum samples. 92% of H37Rv reads mapped to Mtb targets, with 97.8% of target regions covered at a depth ≥ 10X. Among cultured isolates, FLASH-TB detected the same 17 drug resistance mutations as whole genome sequencing (WGS) did, but with much greater depth. Among the 16 sputum samples, FLASH-TB increased recovery of Mtb DNA compared with WGS (from 1.4% [IQR 0.5-7.5] to 33% [IQR 4.6-66.3]) and average depth reads of targets (from 6.3 [IQR 3.8-10.5] to 1991 [IQR 254.4-3623.7]). FLASH-TB identified Mtb complex in all 16 samples based on IS1081 and IS6110 copies. Drug resistance predictions for 15/16 (93.7%) clinical samples were highly concordant with phenotypic DST for isoniazid, rifampicin, amikacin, and kanamycin [15/15 (100%)], ethambutol [12/15 (80%)] and moxifloxacin [14/15 (93.3%)]. These results highlighted the potential of FLASH-TB for detecting Mtb drug resistance from sputum samples.

Humans↗

PubMed1996

Evolving cooperation: strategies as hierarchies of rules.

To better understand the evolutionary dynamics of cooperative strategies and their behavioral components in populations subjected to individual selection, a new classifier-system model (EvA) was developed. In EvA, strategies are encoded as algorithms composed of a fixed number of rules relating behavior remembered from the recent past to the present action to be taken. Each algorithm is the genotype of an individual within the population, and these individuals play the Iterated Prisoner's Dilemma game against each other to determine their relative contributions to the next generation. The rules are hierarchical, with more specific rules, when they apply, overriding more general rules. Maximal mutual cooperation was obtained when interaction sequences for each pair of individuals playing the game were long, when only the immediately preceeding plays in the game were remembered, and when the algorithms consisted of an intermediate number of rules (20-40). Under other conditions, mutual cooperation was reduced--even becoming less frequent than would be expected if behavior were completely random, with very few rules per algorithm. The algorithms that evolved could sometimes be recognized as Tit-For-Tat, Simpleton, or other well-known strategies; but when memory of several previous events was invoked by algorithms based on a substantial number of rules, the resulting strategies were considerably more complex. This approach shows considerable promise for providing a much deeper understanding of how cooperation may evolve in nature. Moreover, classifier-system models could prove to be broadly useful for addressing many optimization questions in biology.

Algorithms↗

PubMed2003

Molecular diagnostics: an FDA perspective.

The potential medical applications of microarrays and in vitro diagnostic devices for global assessments of DNA sequence variations, relative RNA abundance and measurements of proteins have generated much excitement, and some skepticism, within the biomedical community. It has been suggested that within the next decade these microarrays and diagnostic devices will be routinely used in the selection, assessment and quality control of the best drugs for pharmaceutical development, at the bedside for diagnostics and for clinical monitoring of both desired and adverse outcomes of therapeutic interventions. Realizing such potential will be a challenge to the entire scientific community as often breakthroughs which show great promise at the bench fail to meet the requirements of clinicians and regulatory scientists, and to make the transition into common clinical and regulatory practice. The development of a co-operative framework between regulators, product sponsors and technology experts will be essential for realizing the revolutionary promise these platforms could have on the evolution of drug development, regulatory science, the practice of medicine and public health.

Biomarkers↗

PubMed1994

Misincorporation of nucleotides by calf thymus DNA primase and elongation of primers containing multiple noncognate nucleotides by DNA polymerase alpha.

Misincorporation of nucleotides by calf thymus DNA primase was examined using synthetic DNA templates of defined sequence. Primase seldom misincorporated NTPs during initiation of a new primer (i.e. polymerization of two NTPs to generate the dinucleotide). Following dinucleotide formation, however, primase readily misincorporated NTPs. Although the rate of misincorporation varied according to both the identity of the mismatch and the template sequence, primase is by far the least accurate nucleotide-polymerizing enzyme known. In some cases primase discriminated against incorrect NTPs by less than a factor of 100. After primase incorporated a noncognate nucleotide into the primer, the next correct NTP was readily added. Remarkably, primase could also polymerize consecutive noncognate nucleotides and generate primers containing multiple mismatches. Generation of a correctly base-paired primer-template negatively regulated further primer synthesis; however, generation of a primer-template containing multiple mismatches did not. After primase synthesized a primer containing multiple mismatches, the primer was transferred to the polymerase alpha active site via an intramolecular mechanism. Importantly, polymerase alpha readily elongated this primer if dNTPs were present. These data are discussed with respect to the question of why primase is required for DNA replication.

Animals↗

PubMed2001

High-throughput identification, database storage and analysis of SNPs in EST sequences.

Single nucleotide polymorphisms (SNPs) are the most frequent form of DNA variation and disease-causing mutations in many genes. Due to their abundance and slow mutation rate within generations, they are thought to be the next generation of genetic markers that can be used in a myriad of important biological, genetic, pharmacological, and medical applications. There are several strategies both experimental, and in-silico for SNP discovery and mapping. Experimental SNP discovery consists of a number of labourious steps that make this process complex and expensive. In-silico discovery has been proposed as an alternative discovery method that makes use and takes advantage of large data sets with potential SNP information that have been generated with other purposes and have not been used as a SNP information source yet. However, in order to successfully apply the in-silico method to large data sets, the following challenges need to be addressed: First it is necessary to build an integrated SNP pipeline that handles data processing steps smoothly from the beginning (collecting sequence information) to end (SNPs in the database). Also, SNP detection tool parameters have to be optimized to satisfy specific goals of the project. Finally, SNP data could not be fully used until the in-silico method is validated experimentally. In this paper we present a design and implementation of an in-silico SNP detection software pipeline that exploits the existence of large EST (expressed sequence tag) data sets and effectively addresses the above challenges. First, the pipeline allows for smooth data transition between its different components by implementing data interfaces that translate the data formats of the different tools in the different stages. Second, we optimized PolyBayes parameters for SNP detection in maize EST. Finally, we implemented a user interface that along with the database structure created allows the scientist to perform preliminary analysis of the data and to perform basic statistics on the SNP data prior to experimental validation. The pipeline works with two different types of sequence assemblers (PHRAP (http://www.phrap.org/) and CAT from DoubleTwist (http://www.doubletwist.com/). It uses a Bayesian engine for SNP detection (PolyBayes), selects relevant polymorphism information which is then uploaded into a database. We detected 2439 SNPs and 822 insertion deletions (INDELs) with a PolyBayes probability higher than 0.99 on the public set of 68,000 maize ESTs. The user interface allowed us analyzing the polymorphism information right after discovery in several ways that allowed us to gain insight into the distribution and significance of the newly acquired data.

Animals↗

PubMed2004

IS911 partial transposition products and their processing by the Escherichia coli RecG helicase.

Insertion of bacterial insertion sequence IS911 can often be directed to sequences resembling its ends. We have investigated this type of transposition and shown that it can occur via cleavage of a single end and its targeted transfer next to another end. The single end transfer (SET) events generate branched DNA molecules that contain a nicked Holliday junction and can be considered as partial transposition products. Our results indicate that these can be processed by the Escherichia coli host independently of IS911-encoded proteins. Such resolution depends on the presence of homologous DNA regions neighbouring the cross-over point in the SET molecule. Processing is often accompanied by sequence conversion between donor and target sequences, suggesting that branch migration is involved. We show that resolution is greatly reduced in a recG host. Thus, the branched DNA-specific helicase, RecG, involved in processing of potentially lethal DNA structures such as stalled replication forks, also intervenes in the resolution of partial IS911 transposition products.

Base Sequence↗

PubMed1998

Mutational scanning of mitochondrial DNA by two-dimensional electrophoresis.

An expedient, accurate, and cost-efficient test was developed to scan critical regions of the mitochondrial genome for all possible mutations by two-dimensional DNA electrophoresis. The test involves a two-step multiplex PCR amplification: a long-distance PCR to amplify almost the entire mitochondrial genome, which then serves as template for the amplification of 25 short PCR fragments in two multiplex groups corresponding to regions implicated in human diseases. The mixture of fragments was subsequently subjected to two-dimensional electrophoretic separation, first by size in a nondenaturant polyacrylamide gel and then on the basis of basepair sequence in a denaturing gradient polyacrylamide gel. This latter process of denaturing gradient gel electrophoresis is a most accurate form of mutation detection on the basis of differences in melting behavior of mutant and wildtype fragments. Evaluation of the method using samples with known homoplasmic and heteroplasmic mutations, as well as CEPH pedigrees to study segregation of polymorphic variants, indicated a very high accuracy; none of the previously identified mutations and polymorphisms escaped detection, and no erroneous segregation patterns of polymorphic variants were observed. In addition, two variants were found to be novel mutations when analyzed by sequence analysis. One of these novel mutations was a heteroplasmic mutation in the COXIII gene that was found to segregate to homoplasmy in the next generation. Heteroplasmic mutations as low as 1% of mtDNA could still be detected.

DNA Mutational Analysis↗