RESUMEN
BACKGROUND: Phosphine is a valuable fumigant to control pest populations in stored grains and grain products. However, recent studies indicate a substantial increase in phosphine resistance in stored product pests worldwide. RESULTS: To understand the molecular bases of phosphine resistance in insects, we used RNA-Seq to compare gene expression in phosphine-resistant and susceptible laboratory populations of the red flour beetle, Tribolium castaneum. Each population was evaluated as either phosphine-exposed or no phosphine (untreated controls) in triplicate biological replicates (12 samples total). Pairwise analysis indicated there were eight genes differentially expressed between susceptible and resistant insects not exposed to phosphine (i.e., basal expression) or those exposed to phopshine (>8-fold expression and 90 % C.I.). However, 214 genes were differentially expressed among all four treatment groups at a statistically significant level (ANOVA, p < 0.05). Increased expression of 44 cytochrome P450 genes was found in resistant vs. susceptible insects, and phosphine exposure resulted in additional increases of 21 of these genes, five of which were significant among all treatment groups (p < 0.05). Expression of two genes encoding anti-diruetic peptide was 2- to 8-fold reduced in phosphine-resistant insects, and when exposed to phosphine, expression was further reduced 36- to 500-fold compared to susceptible. Phosphine-resistant insects also displayed differential expression of cuticle, carbohydrate, protease, transporter, and many mitochondrial genes, among others. Gene ontology terms associated with mitochondrial functions (oxidation biological processes, monooxygenase and catalytic molecular functions, and iron, heme, and tetrapyyrole binding) were enriched in the significantly differentially expressed dataset. Sequence polymorphism was found in transcripts encoding a known phosphine resistance gene, dihydrolipoamide dehydrogenase, in both susceptible and resistant insects. Phosphine-resistant adults also were resistant to knockdown by the pyrethroid deltamethrin, likely due to the increased cytochrome P450 expression. CONCLUSIONS: Overall, genes associated with the mitochondria were differentially expressed in resistant insects, and these differences may contribute to a reduction in overall metabolism and energy production and/or compensation in resistant insects. These data provide the first gene expression data on the response of phosphine-resistant and -susceptible insects to phosphine exposure, and demonstrate that RNA-Seq is a valuable tool to examine differences in insects that respond differentially to environmental stimuli.
Asunto(s)
Resistencia a los Insecticidas/genética , Mitocondrias/efectos de los fármacos , Fosfinas/farmacología , Transcriptoma/efectos de los fármacos , Tribolium/citología , Tribolium/genética , Secuencia de Aminoácidos , Animales , Sistema Enzimático del Citocromo P-450/genética , Dihidrolipoamida Deshidrogenasa/química , Dihidrolipoamida Deshidrogenasa/genética , Genómica , Mitocondrias/metabolismo , Datos de Secuencia Molecular , Nitrilos/farmacología , Piretrinas/farmacología , Análisis de Secuencia de ARN , Tribolium/efectos de los fármacos , Tribolium/enzimologíaRESUMEN
Somatic mosaicism is a hallmark of malignancy that is also pervasively observed in human physiological aging, with clonal expansions of cells harboring mutations in recurrently mutated driver genes. Bulk sequencing of tissue microdissection captures mutation frequencies, but cannot distinguish which mutations co-occur in the same clones to reconstruct clonal architectures, nor phenotypically profile clonal populations to delineate how driver mutations impact cellular behavior. To address these challenges, we developed single-cell Genotype-to-Phenotype sequencing (scG2P) for high-throughput, highly-multiplexed, single-cell joint capture of recurrently mutated genomic regions and mRNA phenotypic markers in cells or nuclei isolated from solid tissues. We applied scG2P to aged esophagus samples from five individuals with high alcohol and tobacco exposure and observed a clonal landscape dominated by a large number of clones with a single driver event, but only rare clones with two driver mutations. NOTCH1 mutants dominate the clonal landscape and are linked to stunted epithelial differentiation, while TP53 mutants and double-driver mutants promote clonal expansion through both differentiation biases and increased cell cycling. Thus, joint single-cell highly multiplexed capture of somatic mutations and mRNA transcripts enables high resolution reconstruction of clonal architecture and associated phenotypes in solid tissue somatic mosaicism.
RESUMEN
Understanding the genomic landscape of cancer in single cells can be valuable for the characterization of molecular events that drive evolution of tumorigenesis and fostering progress in identifying druggable regimens for patient treatment scenarios. We report a new approach to measure multiple modalities simultaneously from up to 10,000 individual cells using microfluidics paired with next-generation sequencing. Our procedure determines targeted protein levels, mRNA transcript levels, and somatic gDNA sequence variations including copy number variants. This approach can resolve over 20 proteins, 100s of targeted transcripts, and DNA amplicons.
Asunto(s)
Microfluídica , ADN/genética , Variaciones en el Número de Copia de ADN , Genotipo , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Fenotipo , ARN , Análisis de Secuencia de ADN , Flujo de TrabajoRESUMEN
An important aspect of understanding cancer biology is to connect the diverse repertoire of genotype-to-phenotype displays in individual specimens and ultimately resolve disease course outcome through informative datasets. A focus of cancer genomics has strived to provide predictive capabilities using genomic information to further inform therapeutic strategies. The advent of single-cell sequencing and analysis now provides a route to decipher high-resolution genomic diversity in individual samples and facilitate detailed understanding of clonal evolution in clinical research settings. In addition to generating high-throughput single-cell genomic SNV and CNV data, this protocol describes a new analytical ability that adds a second dimension which provides for interrogation of surface protein marker expression. The first immediate application of this technology is quite suitable to heme cancer cell studies. This multimodal approach allows for correlation of diverse genomic signatures to key phenotypic biomarkers such as immunophenotypes in leukemic diseases.
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Proteínas de la Membrana/análisis , Evolución Clonal , ADN , Genoma , GenómicaRESUMEN
Circulating Tumor Cells (CTC) and Circulating Tumor Microemboli (CTM) are Circulating Rare Cells (CRC) which herald tumor invasion and are expected to provide an opportunity to improve the management of cancer patients. An unsolved technical issue in the CTC field is how to obtain highly sensitive and unbiased collection of these fragile and heterogeneous cells, in both live and fixed form, for their molecular study when they are extremely rare, particularly at the beginning of the invasion process. We report on a new protocol to enrich from blood live CTC using ISET® (Isolation by SizE of Tumor/Trophoblastic Cells), an open system originally developed for marker-independent isolation of fixed tumor cells. We have assessed the impact of our new enrichment method on live tumor cells antigen expression, cytoskeleton structure, cell viability and ability to expand in culture. We have also explored the ISET® in vitro performance to collect intact fixed and live cancer cells by using spiking analyses with extremely low number of fluorescent cultured cells. We describe results consistently showing the feasibility of isolating fixed and live tumor cells with a Lower Limit of Detection (LLOD) of one cancer cell per 10 mL of blood and a sensitivity at LLOD ranging from 83 to 100%. This very high sensitivity threshold can be maintained when plasma is collected before tumor cells isolation. Finally, we have performed a comparative next generation sequencing (NGS) analysis of tumor cells before and after isolation from blood and culture. We established the feasibility of NGS analysis of single live and fixed tumor cells enriched from blood by our system. This study provides new protocols for detection and characterization of CTC collected from blood at the very early steps of tumor invasion.
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Separación Celular/métodos , Detección Precoz del Cáncer/métodos , Neoplasias/diagnóstico , Neoplasias/metabolismo , Células Neoplásicas Circulantes/metabolismo , Células Neoplásicas Circulantes/patología , Animales , Antígenos de Neoplasias/inmunología , Antígenos de Neoplasias/metabolismo , Biomarcadores de Tumor , Línea Celular Tumoral , Supervivencia Celular , Citoesqueleto/metabolismo , Detección Precoz del Cáncer/normas , Pruebas Genéticas/métodos , Pruebas Genéticas/normas , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Inmunohistoquímica , Separación Inmunomagnética/métodos , Hibridación Fluorescente in Situ , Ratones , Invasividad Neoplásica , Reproducibilidad de los ResultadosRESUMEN
Molecular confinement offers new routes for arraying large DNA molecules, enabling single-molecule schemes aimed at the acquisition of sequence information. Such schemes can rapidly advance to become platforms capable of genome analysis if elements of a nascent system can be integrated at an early stage of development. Integrated strategies are needed for surmounting the stringent experimental requirements of nanoscale devices regarding fabrication, sample loading, biochemical labeling, and detection. We demonstrate that disposable devices featuring both micro- and nanoscale features can greatly elongate DNA molecules when buffer conditions are controlled to alter DNA stiffness. Furthermore, we present analytical calculations that describe this elongation. We also developed a complementary enzymatic labeling scheme that tags specific sequences on elongated molecules within described nanoslit devices that are imaged via fluorescence resonance energy transfer. Collectively, these developments enable scaleable molecular confinement approaches for genome analysis.