Durvalumab plus carboplatin-etoposide treatment in a patient with small-cell lung cancer on hemodialysis: a case report and literature review.

Little is known about the efficacy and safety of durvalumab plus carboplatin-etoposide treatment in patients with extensive-disease (ED) small-cell lung cancer (SCLC) on hemodialysis. Here, we present a case of a 67-year-old man with pleuroperitoneal communication on continuous ambulatory peritoneal dialysis who was diagnosed with ED-SCLC based on a cytological analysis of the peritoneal fluid. He was switched from peritoneal dialysis to hemodialysis and received durvalumab (1500 mg/body on day 1) plus carboplatin (area under the concentration-time curve = 5, 125 mg on day 1) and etoposide (50 mg/m2 on days 1 and 3) as first-line therapy. During the first cycle, grade 2 anemia, grade 3 neutropenia, and grade 3 upper gastrointestinal bleeding occurred; therefore, durvalumab and reduced doses of carboplatin and etoposide were administered. No other severe adverse events occurred, and a partial response was observed after four cycles. Our findings indicate that durvalumab plus carboplatin-etoposide treatment is safe and effective even in patients on hemodialysis.

Evaluation of rRNA depletion methods for capturing the RNA virome from environmental surfaces.

OBJECTIVE: Metatranscriptomic analysis of RNA viromes on built-environment surfaces is hampered by low RNA yields and high abundance of rRNA. Therefore, we evaluated the quality of libraries, efficiency of rRNA depletion, and viral detection sensitivity using a mock community and a melamine-coated table surface RNA with levels below those required (< 5 ng) with a library preparation kit (NEBNext Ultra II Directional RNA Library Prep Kit). RESULTS: Good-quality RNA libraries were obtained from 0.1 ng of mock community and table surface RNA by changing the adapter concentration and number of PCR cycles. Differences in the target species of the rRNA depletion method affected the community composition and sensitivity of virus detection. The percentage of viral occupancy in two replicates was 0.259 and 0.290% in both human and bacterial rRNA-depleted samples, a 3.4 and 3.8-fold increase compared with that for only bacterial rRNA-depleted samples. Comparison of SARS-CoV-2 spiked-in human rRNA and bacterial rRNA-depleted samples suggested that more SARS-CoV-2 reads were detected in bacterial rRNA-depleted samples. We demonstrated that metatranscriptome analysis of RNA viromes is possible from RNA isolated from an indoor surface (representing a built-environment surface) using a standard library preparation kit.

Epidermal growth factor receptor mutation-positive advanced lung adenocarcinoma presenting with acute respiratory failure diagnosed by thin bronchoscope through transnasal route under high-concentration oxygen mask.

A 59-year-old woman complained of continuous dyspnea. Computed tomography revealed multiple pulmonary nodules, mildly small enlarged mediastinal lymph nodes and a nodule in the liver segment 8. Her dyspnea worsened with respiratory failure 4 days after presentation. Liver biopsy was not possible as she could not hold her breath; thus, we performed bronchoscopy. For biopsy, the pulmonary nodules with a positive bronchus sign were preferred over the mildly small enlarged mediastinal lymph nodes. Bronchoscopy under non-invasive positive pressure ventilation (NPPV) or high-flow nasal cannula (HFNC) was impossible because of the lack of equipment. Therefore, we biopsied via thin bronchoscope through nasal cavity under a high-concentration oxygen mask. Pathological findings revealed epidermal growth factor receptor mutation-positive lung adenocarcinoma. For patients with respiratory failure who cannot undergo bronchoscopy under NPPV or HFNC, thin bronchoscopy through the nasal cavity under a high-concentration oxygen mask may be clinically useful to prevent hypoxaemia during the procedure.

Highly Precise and Sensitive Polymerase Chain Reaction Using Mesoporous Silica-Immobilized Enzymes.

A highly precise and sensitive technology that enables DNA amplification/detection from minimal amounts of nucleic acid is expected to find applicability in genetic testing involving small amounts of samples. The use of a free enzyme in conventional DNA amplification techniques, such as the polymerase chain reaction (PCR), frequently causes side reactions (i.e., nonspecific DNA amplification) when ≤103 substrate DNA molecules are present, thereby preventing selective amplification of the target DNA. To address this issue, we have developed a novel DNA amplification system, mesoporous silica-enhanced PCR (MSE-PCR), which involves the immobilization of a thermostable DNA polymerase from Thermococcus kodakaraensis (KOD DNA polymerase) into highly ordered nanopores of the mesoporous silica to control the reaction environment around the enzyme. In the MSE-PCR system using immobilized KOD DNA polymerase, such nonspecific DNA amplification was remarkably inhibited under the same conditions. Furthermore, the optimization of mesoporous silica pore sizes enabled selective and efficient DNA amplification from DNA substrates at the single-molecule level, i.e., one ten-thousandth of the amount of substrate DNA required for a DNA amplification reaction using a free enzyme. The results obtained in this study have shown that the nanopores of mesoporous silica can inhibit nonspecific reactions in DNA amplification, thereby considerably improving the specificity and sensitivity of the DNA polymerase reaction.

Batch-Learning Self-Organizing Map Identifies Horizontal Gene Transfer Candidates and Their Origins in Entire Genomes.

Horizontal gene transfer (HGT) has been widely suggested to play a critical role in the environmental adaptation of microbes; however, the number and origin of the genes in microbial genomes obtained through HGT remain unknown as the frequency of detected HGT events is generally underestimated, particularly in the absence of information on donor sequences. As an alternative to phylogeny-based methods that rely on sequence alignments, we have developed an alignment-free clustering method on the basis of an unsupervised neural network "Batch-Learning Self-Organizing Map (BLSOM)" in which sequence fragments are clustered based solely on oligonucleotide similarity without taxonomical information, to detect HGT candidates and their origin in entire genomes. By mapping the microbial genomic sequences on large-scale BLSOMs constructed with nearly all prokaryotic genomes, HGT candidates can be identified, and their origin assigned comprehensively, even for microbial genomes that exhibit high novelty. By focusing on two types of Alphaproteobacteria, specifically psychrotolerant Sphingomonas strains from an Antarctic lake, we detected HGT candidates using BLSOM and found higher proportions of HGT candidates from organisms belonging to Betaproteobacteria in the genomes of these two Antarctic strains compared with those of continental strains. Further, an origin difference was noted in the HGT candidates found in the two Antarctic strains. Although their origins were highly diversified, gene functions related to the cell wall or membrane biogenesis were shared among the HGT candidates. Moreover, analyses of amino acid frequency suggested that housekeeping genes and some HGT candidates of the Antarctic strains exhibited different characteristics to other continental strains. Lys, Ser, Thr, and Val were the amino acids found to be increased in the Antarctic strains, whereas Ala, Arg, Glu, and Leu were decreased. Our findings strongly suggest a low-temperature adaptation process for microbes that may have arisen convergently as an independent evolutionary strategy in each Antarctic strain. Hence, BLSOM analysis could serve as a powerful tool in not only detecting HGT candidates and their origins in entire genomes, but also in providing novel perspectives into the environmental adaptations of microbes.

Genome sequence and overview of Oligoflexus tunisiensis Shr3T in the eighth class Oligoflexia of the phylum Proteobacteria.

Oligoflexus tunisiensis Shr3T is the first strain described in the newest (eighth) class Oligoflexia of the phylum Proteobacteria. This strain was isolated from the 0.2-µm filtrate of a suspension of sand gravels collected in the Sahara Desert in the Republic of Tunisia. The genome of O. tunisiensis Shr3T is 7,569,109 bp long and consists of one scaffold with a 54.3% G + C content. A total of 6,463 genes were predicted, comprising 6,406 protein-coding and 57 RNA genes. Genome sequence analysis suggested that strain Shr3T had multiple terminal oxidases for aerobic respiration and various transporters, including the resistance-nodulation-cell division-type efflux pumps. Additionally, gene sequences related to the incomplete denitrification pathway lacking the final step to reduce nitrous oxide (N2O) to nitrogen gas (N2) were found in the O. tunisiensis Shr3T genome. The results presented herein provide insight into the metabolic versatility and N2O-producing activity of Oligoflexus species.

Complete Genome Sequence of Aurantimicrobium minutum Type Strain KNCT, a Planktonic Ultramicrobacterium Isolated from River Water.

Aurantimicrobium minutum type strain KNC(T) is a planktonic ultramicrobacterium isolated from river water in western Japan. Strain KNC(T) has an extremely small, streamlined genome of 1,622,386 bp comprising 1,575 protein-coding sequences. The genome annotation suggests that strain KNC(T) has an actinorhodopsin-based photometabolism.

Aurantimicrobium minutum gen. nov., sp. nov., a novel ultramicrobacterium of the family Microbacteriaceae, isolated from river water.

A Gram-stain-positive, aerobic, non-motile, curved (selenoid), rod-shaped actinobacterium, designated KNCT, was isolated from the 0.2 µm-filtrate of river water in western Japan. Cells of strain KNCT were ultramicrosized (0.04-0.05 µm3). The strain grew at 15-37 °C, with no observable growth at 10 °C or 40 °C. The pH range for growth was 7-9, with weaker growth at pH 10. Growth was impeded by the presence of NaCl at concentrations greater than 1 %. Phylogenetic analysis based on 16S rRNA gene sequences revealed that strain KNCT showed relatively high sequence similarity (97.2 %) to Alpinimonas psychrophila Cr8-25T in the family Microbacteriaceae. However, strain KNCT formed an independent cluster with cultured, but as-yet-unidentified, species and environmental clones on the phylogenetic tree. The major cellular fatty acids were anteiso-C15 : 0 (41.0 %), iso-C16 : 0 (21.8 %), C16 : 0 (18.0 %) and anteiso-C17 : 0 (12.9 %), and the major menaquinones were MK-11 (71.3 %) and MK-12 (13.6 %). The major polar lipids were phosphatidylglycerol and two unknown glycolipids. The cell-wall muramic acid acyl type was acetyl. The peptidoglycan was B-type, and contained 3-hydroxyglutamic acid, glutamic acid, aspartic acid, glycine, alanine and lysine, with the latter being the diagnostic diamino acid. The G+C content of the genome was unusually low for actinobacteria (52.1 mol%), compared with other genera in the family Microbacteriaceae. Based on the phenotypic characteristics and phylogenetic evidence, strain KNCT represents a novel species of a new genus within the family Microbacteriaceae, for which the name Aurantimicrobium minutum gen. nov., sp. nov. is proposed. The type strain of the type species is KNCT ( = NBRC 105389T = NCIMB 14875T).

Identification of essential genes and synthetic lethal gene combinations in Escherichia coli K-12.

Here we describe the systematic identification of single genes and gene pairs, whose knockout causes lethality in Escherichia coli K-12. During construction of precise single-gene knockout library of E. coli K-12, we identified 328 essential gene candidates for growth in complex (LB) medium. Upon establishment of the Keio single-gene deletion library, we undertook the development of the ASKA single-gene deletion library carrying a different antibiotic resistance. In addition, we developed tools for identification of synthetic lethal gene combinations by systematic construction of double-gene knockout mutants. We introduce these methods herein.

Environmental dependency of gene knockouts on phenotype microarray analysis in Escherichia coli.

Systematic studies have revealed that single gene deletions often display little phenotypic effects under laboratory conditions and that in many cases gene dispensability depends on the experimental conditions. To elucidate the environmental dependency of genes, we analyzed the effects of gene deletions by Phenotype MicroArray™ (PM), a system for quantitative screening of thousands of phenotypes in a high-throughput manner. Here, we proposed a new statistical approach to minimize error inherent in measurements of low respiration rates and find which mutants showed significant phenotypic changes in comparison to the wild-type. We show analyzing results from comprehensive PM assays of 298 single-gene knockout mutants in the Keio collection and two additional mutants under 1,920 different conditions. We focused on isozymes of these genes as simple duplications and analyzed correlations between phenotype changes and protein expression levels. Our results revealed divergence of the environmental dependency of the gene among the knockout genes and have also given some insights into possibilities of alternative pathways and availabilities of information on protein synthesis patterns to classify or predict functions of target genes from systematic phenotype screening.

Complete genome sequence and comparative analysis of Shewanella violacea, a psychrophilic and piezophilic bacterium from deep sea floor sediments.

Remineralization of organic matter in deep-sea sediments is important in oceanic biogeochemical cycles, and bacteria play a major role in this process. Shewanella violacea DSS12 is a psychrophilic and piezophilic gamma-proteobacterium that was isolated from the surface layer of deep sea sediment at a depth of 5110 m. Here, we report the complete genome sequence of S. violacea and comparative analysis with the genome of S. oneidensis MR-1, isolated from sediments of a freshwater lake. Unlike S. oneidensis, this deep-sea Shewanella possesses very few terminal reductases for anaerobic respiration and no c-type cytochromes or outer membrane proteins involved in respiratory Fe(iii) reduction, which is characteristic of most Shewanella species. Instead, the S. violacea genome contains more terminal oxidases for aerobic respiration and a much greater number of putative secreted proteases and polysaccharases, in particular, for hydrolysis of collagen, cellulose and chitin, than are encoded in S. oneidensis. Transporters and assimilatory reductases for nitrate and nitrite, and nitric oxide-detoxifying mechanisms (flavohemoglobin and flavorubredoxin) are found in S. violacea. Comparative analysis of the S. violacea genome revealed the respiratory adaptation of this bacterium to aerobiosis, leading to predominantly aerobic oxidation of organic matter in surface sediments, as well as its ability to efficiently use diverse organic matter and to assimilate inorganic nitrogen as a survival strategy in the nutrient-poor deep-sea floor.

Glutathione production by efficient ATP-regenerating Escherichia coli mutants.

There is an ongoing demand to improve the ATP-regenerating system for industrial ATP-driven bioprocesses because of the low efficiency of ATP regeneration. To address this issue, we investigated the efficiency of ATP regeneration in Escherichia coli using the Permeable Cell Assay. This assay identified 40 single-gene deletion strains that had over 150% higher total cellular ATP synthetic activity relative to the parental strain. Most of them also showed higher ATP-driven glutathione synthesis. The deleted genes of the identified strains that showed increased efficiency of ATP regeneration for glutathione production could be divided into the following four groups: (1) glycolytic pathway-related genes, (2) genes related to degradation of ATP or adenosine, (3) global regulatory genes, and (4) genes whose contribution to the ATP regeneration is unknown. Furthermore, the high glutathione productivity of DeltanlpD, the highest glutathione-producing mutant strain, was due to its reduced sensitivity to the externally added ATP for ATP regeneration. This study showed that the Permeable Cell Assay was useful for improving the ATP-regenerating activity of E. coli for practical applications in various ATP-driven bioprocesses, much as that of glutathione production.

Systematic genome-wide scanning for genes involved in ATP generation in Escherichia coli.

Adenosine 5'-triphosphate (ATP) generation is an essential biological reaction for all living cells. Recently, we developed a Permeable Cell Assay for high-throughput measurement of cellular ATP synthetic activity, mainly resulting from glycolysis [Hara, K.Y., Mori, H., 2006. An efficient method for quantitative determination of cellular ATP synthetic activity. J. Biomol. Screen. 11, 310-317]. By using this method, we determined the cellular ATP synthetic activity in the stationary phase of a complete set of single-gene deletion strains of Escherichia coli. Their activities ranged from a minimum of 2% to a maximum of 445%, relative to parental strains. Deletions of metabolism-related genes frequently caused an increase in the rate of ATP synthetic activity, while activity was reduced by deletions of a variety of functional genes, including many poorly characterized genes. We also demonstrated that the deletion of the ptsG gene doubled ATP-driven glutathione synthesis and increased cellular ATP synthetic activity. Our study also indicated that it should be easy to obtain active strains for ATP synthesis from deletion strains. Overall, the data set of this study may be useful to improve E. coli strains for ATP-dependent industrial processes and, therefore, may be important for the design of so-called cell factories.

Genome structure of the legume, Lotus japonicus.

The legume Lotus japonicus has been widely used as a model system to investigate the genetic background of legume-specific phenomena such as symbiotic nitrogen fixation. Here, we report structural features of the L. japonicus genome. The 315.1-Mb sequences determined in this and previous studies correspond to 67% of the genome (472 Mb), and are likely to cover 91.3% of the gene space. Linkage mapping anchored 130-Mb sequences onto the six linkage groups. A total of 10,951 complete and 19,848 partial structures of protein-encoding genes were assigned to the genome. Comparative analysis of these genes revealed the expansion of several functional domains and gene families that are characteristic of L. japonicus. Synteny analysis detected traces of whole-genome duplication and the presence of synteny blocks with other plant genomes to various degrees. This study provides the first opportunity to look into the complex and unique genetic system of legumes.

The construction of systematic in-frame, single-gene knockout mutant collection in Escherichia coli K-12.

Here we describe the systematic construction of well-defined, in-frame, single-gene deletions of all nonessential genes in Escherichia coli K-12. The principal strategy is based on the method for one-step inactivation of chromosomal genes in E. coli K-12 established by Datsenko and Wanner (1), namely, the replacement of a target gene with a selectable antibiotic-resistant marker generated by polymerase chain reaction (PCR) using oligonucleotide DNA primers homologous to the gene flanking regions. The advantages of this method include complete deletion of an entire open reading frame and precise design eliminating polar effects for the downstream genes on E. coli chromosome.

The applications of systematic in-frame, single-gene knockout mutant collection of Escherichia coli K-12.

The increasing genome sequence data of microorganisms has provided the basis for comprehensive understanding of organisms at the molecular level. Besides sequence data, a large number of experimental and computational resources are required for genome-scale analyses. Escherichia coli K-12 has been one of the best characterized organisms in molecular biology. Recently, the whole-genome sequences of two closely related E. coli K-12 strains, MG1655 (1) and W3110 (2), were compared and confirmed by resequencing selected regions from both strains (2). The availability of highly accurate E. coli K-12 genomes provided an impetus for the cooperative reannotation of both MG1655 and W3110 (3). A set of precisely defined, single-gene knockout mutants of all nonessential genes in E. coli K-12 was constructed based on the recent accurate genome sequence data ([4] and Chapter 11). These mutants were designed to create in-frame (nonpolar) deletions upon elimination of the resistance cassette. These mutants have provided new key information on E. coli biology. First, the vast majority of the 3985 genes that were independently disrupted at least twice are probably nonessential, at least under the conditions of selection. Second, the 303 genes that we repeatedly failed to disrupt are candidates for E. coli essential genes. Lastly, phenotypic effects of all these mutations in the uniform genetic background of E. coli BW25113 were assessed by profiling mutants' growth yields on rich and minimal media (4). These mutants should provide not only a basic resource for systematic functional genomics but also an experimental data source for systems biology applications. The mutants can serve as fundamental tools for a number of reverse genetics approaches, permitting analysis of the consequences of the complete loss of gene function, in contrast with forward genetics approaches in which mutant phenotypes are associated with a corresponding gene or genes.

Multiple high-throughput analyses monitor the response of E. coli to perturbations.

Analysis of cellular components at multiple levels of biological information can provide valuable functional insights. We performed multiple high-throughput measurements to study the response of Escherichia coli cells to genetic and environmental perturbations. Analysis of metabolic enzyme gene disruptants revealed unexpectedly small changes in messenger RNA and proteins for most disruptants. Overall, metabolite levels were also stable, reflecting the rerouting of fluxes in the metabolic network. In contrast, E. coli actively regulated enzyme levels to maintain a stable metabolic state in response to changes in growth rate. E. coli thus seems to use complementary strategies that result in a metabolic network robust against perturbations.

High-throughput fluorescence labelling of full-length cDNA products based on a reconstituted translation system.

Although recent advances in fluorescence-based technologies, such as protein microarrays, have made it possible to analyse more than 10,000 proteins at once, there is a bottleneck in the step of preparation of large numbers of fluorescently labelled proteins for the comprehensive analysis of protein-protein interactions. Here we describe two independent methods for high-throughput fluorescence-labelling of full-length cDNA products at their C-termini using a reconstituted translation system containing fluorescent puromycin. For the first method, release factor-free systems were used. For the second method, stop codons were excluded from cDNAs by using a common mismatch primer in mutagenic PCR. These methods yielded large numbers of labelled proteins from cDNA sets of various organisms, such as mouse, yeast and Escherichia coli.

Experimental and computational assessment of conditionally essential genes in Escherichia coli.

Genome-wide gene essentiality data sets are becoming available for Escherichia coli, but these data sets have yet to be analyzed in the context of a genome scale model. Here, we present an integrative model-driven analysis of the Keio E. coli mutant collection screened in this study on glycerol-supplemented minimal medium. Out of 3,888 single-deletion mutants tested, 119 mutants were unable to grow on glycerol minimal medium. These conditionally essential genes were then evaluated using a genome scale metabolic and transcriptional-regulatory model of E. coli, and it was found that the model made the correct prediction in approximately 91% of the cases. The discrepancies between model predictions and experimental results were analyzed in detail to indicate where model improvements could be made or where the current literature lacks an explanation for the observed phenotypes. The identified set of essential genes and their model-based analysis indicates that our current understanding of the roles these essential genes play is relatively clear and complete. Furthermore, by analyzing the data set in terms of metabolic subsystems across multiple genomes, we can project which metabolic pathways are likely to play equally important roles in other organisms. Overall, this work establishes a paradigm that will drive model enhancement while simultaneously generating hypotheses that will ultimately lead to a better understanding of the organism.