Biology subjects

Wang, E.

Publications and source records attributed to Wang, E..

7 recordsLinked to original sources

bioRxiv2018

eTumorRisk, an algorithm predicts cancer risk based on comutated gene networks in an individual’s germline genome

Early cancer detection has potentials to reduce cancer burden. A prior identification of the high-risk population of cancer will facilitate cancer early detection. Traditionally, cancer predisposition genes such as BRCA1/2 have been used for identifying high-risk population of developing breast and ovarian cancers. However, such high-risk genes have only a few. Moreover, the complexity of cancer hints multiple genes involved but also prevents from identifying such predictors for predicting high-risk subpopulation. Therefore, we asked if the germline genomes could be used to identify high-risk cancer population. So far, none of such predictive models has been developed. Here, by analyzing of the germline genomes of 3,090 cancer patients representing 12 common cancer types and 25,701 non-cancer individuals, we discovered significantly differential co-mutated gene pairs between cancer and non-cancer groups, and even between cancer types. Based on these findings, we developed a network-based algorithm, eTumorRisk, which enables to predict individuals cancer risk of six genetic-dominant cancers including breast, colon, brain, leukemia, ovarian and endometrial cancers with the prediction accuracies of 74.1-91.7% and have 1-3 false-negatives out of the validating samples (n=14,701). The eTumorRisk which has a very low false-negative rate might be useful in screening of general population for identifying high-risk cancer population.

bioinformatics↗

bioRxiv2018

Mitochondrial hypoxic stress induces widespread RNA editing by APOBEC3G in lymphocytes

Protein recoding by RNA editing is required for normal health and evolutionary adaptation. However, de novo induction of RNA editing in response to environmental factors is an uncommon phenomenon. While APOBEC3A edits many mRNAs in monocytes/macrophages in response to hypoxia and interferons, the physiological significance of such editing is unclear. Here we show that the related APOBEC3G cytidine deaminase induces site-specific C-to-U RNA editing in natural killer (NK), CD8+ T cells and lymphoma cell lines upon cellular crowding and hypoxia. RNASeq analysis of hypoxic NK cells reveals widespread C-to-U recoding mRNA editing that is enriched for genes involved in mRNA translation. APOBEC3G promotes Warburg-like metabolic remodeling and reduces proliferation of HuT78 T cells under similar conditions. Hypoxia-induced RNA editing by APOBEC3G can be mimicked by the inhibition of mitochondrial respiration, and occurs independently of HIF-1. Thus, APOBEC3G is an endogenous RNA editing enzyme, which is induced by mitochondrial hypoxic stress to promote adaptation in lymphocytes.

molecular biology↗

bioRxiv2018

Germline genomic landscapes of breast cancer patients significantly predict clinical outcomes

Germline genetic variants such as BRCA1/2 play an important role in tumorigenesis and clinical outcomes of cancer patients. However, only a small fraction (i.e., 5-10%) of inherited variants has been associated with clinical outcomes (e.g., BRCA1/2, APC, TP53, PTEN and so on). The challenge remains in using these inherited germline variants to predict clinical outcomes of cancer patient population. In an attempt to solve this issue, we applied our recently developed algorithm, eTumorMetastasis, which constructs predictive models, on exome sequencing data to ER+ breast (n=755) cancer patients. Gene signatures derived from the genes containing functionally germline genetic variants significantly distinguished recurred and non-recurred patients in two ER+ breast cancer independent cohorts (n=200 and 295, P=1.4x10-3). Furthermore, we found that recurred patients possessed a higher rate of germline genetic variants. In addition, the inherited germline variants from these gene signatures were predominately enriched in T cell function, antigen presentation and cytokine interactions, likely impairing the adaptive and innate immune response thus favoring a pro-tumorigenic environment. Hence, germline genomic information could be used for developing non-invasive genomic tests for predicting patients outcomes (or drug response) in breast cancer, other cancer types and even other complex diseases.

cancer biology↗

bioRxiv2018

eTumorMetastasis, a network-based algorithm predicts clinical outcomes using whole-exome sequencing data of cancer patients

Continual reduction in sequencing cost is expanding the accessibility of genome sequencing data for routine clinical applications. However, the lack of methods to construct machine learning-based predictive models using these datasets has become a crucial bottleneck for the application of sequencing technology in clinics. Here we developed a new algorithm, eTumorMetastasis, which transforms tumor functional mutations into network-based profiles, and identify network operational gene signatures (NOG signatures) which model the tipping point at which a tumor cell shifts from a state that doesnt favor recurrences to one that does. We showed that NOG signatures derived from genomic mutations of tumor founding clones (i.e., the most recent common ancestor of the cells within a tumor) significantly distinguished recurred and non-recurred breast tumors. These results imply that somatic mutations of tumor founders are association with tumor recurrence and can be used to predict clinical outcomes. Finally, the concepts underlying the eTumorMetastasis pave the way for the application of genome sequencing in predictions for other complex genetic diseases.

bioinformatics↗

bioRxiv2017

Dynamics of finely resolved, abundant symbiotic marine plankton and other interacting microbes via automated high-frequency sampling

Short time-scale observations are valuable for understanding microbial ecological processes. We assessed dynamics in relative abundance and potential activities by sequencing the small sub-unit ribosomal RNA gene (rRNA gene) and rRNA molecules (rRNA) of Bacteria, Archaea, and Eukaryota once to twice-daily between March 2014 and May 2014 from the surface ocean off Catalina Island, California. Typically Ostreococcus, Braarudosphaera, Teleaulax, and Synechococcus dominated phytoplankton sequences (including chloroplasts) while SAR11, Sulfitobacter, and Fluviicola dominated non-phytoplankton Bacteria and Archaea. We observed short-lived increases of diatoms, mostly Pseudo-nitzschia and Chaetoceros, with quickly responding Bacteria and Archaea including Flavobacteriaceae (Polaribacter & Formosa), Roseovarius, and Euryarchaeota (MGII), notably the exact amplicon sequence variants we observed responding similarly to another diatom bloom nearby, three years prior. We observed correlations representing known interactions among abundant phytoplankton rRNA sequences, demonstrating the biogeochemical and ecological relevance of such interactions: 1) The kleptochloroplastidic ciliate Mesodinium 18S rRNA gene sequences and a single Teleaulax taxon (via 16S rRNA gene sequences) were correlated (Spearman r =0.83) yet uncorrelated to a Teleaulax 18S rRNA gene OTU, or any other taxon (consistent with a kleptochloroplastidic or karyoklepty relationship) and 2) the photosynthetic prymnesiophyte Braarudosphaera bigelowii and two strains of diazotrophic cyanobacterium UCYN-A were correlated and each taxon was also correlated to other taxa, including B. bigelowii to a verrucomicrobium and a dictyochophyte phytoplankter (all r > 0.8). We also report strong correlations (r > 0.7) between various ciliates, bacteria, and phytoplankton, suggesting interactions via currently unknown mechanisms. These data reiterate the utility of high-frequency time-series to show rapid microbial reactions to stimuli, and provide new information about in-situ dynamics of previously recognized and hypothesized interactions.

microbiology↗

bioRxiv2017

Characterization of SID-1-dependent and independent intergenerational RNA transport pathways in Caenorhabditis elegans

Systemic RNA interference (RNAi) in C. elegans is dependent on sid-1 (WO_SCPLOWINSTONC_SCPLOW et al. 2002), sid-3 (JO_SCPLOWOSEC_SCPLOW et al. 2012) and sid-5 (HO_SCPLOWINASC_SCPLOW et al. 2012). After injection, expression, or ingestion, double-stranded RNA (dsRNA) is transported between cells throughout the animal to enable RNAi in most tissues, including the germline and progeny. Here, we characterize the role of the Sid genes in transport of dsRNA to progeny. We previously reported that dsRNA injected directly in the germline unexpectedly requires sid-1 activity in the progeny to initiate RNAi (WO_SCPLOWINSTONC_SCPLOW et al. 2002). We now show that germline injected dsRNA can travel by three independent pathways to silence gene expression in embryos. First, germline injected dsRNA is delivered, presumably by bulk flow, into oocytes and embryos. This means of delivery, which does not require sid-1, is limited by the amount and location of injected dsRNA. Second, maternal sid-1 transports extracellular dsRNA into the germline where it can silence maternal deposited mRNAs and segregate to embryos to silence embryonically expressed mRNAs. Third, extracellular dsRNA is also endocytosed into oocytes by the low-density lipoprotein (LDL) receptor superfamily homolog RME-2. The endocytosed dsRNA then requires sid-1 and sid-5 in embryos to silence embryonically expressed genes. Extracellular fluorescent dsRNA, once endocytosed into oocytes, does not co-localize with VIT2::GFP and it does not require sid-1 activity to segregate from the late endocytosis marker GFP::RAB-7 in early embryos. In conclusion, we identify genes and pathways that function redundantly for intergenerational RNA transfer that may represent mechanisms for transgenerational epigenetic inheritance.

genetics↗

bioRxiv2017

Complex interactions in legume/cereal intercropping system : role of root exudates in root-to-root communication

Dear Editor,\n\nLegume/cereal intercropping systems have been regarded as the practical application of basic ecological principles such as diversity, competition and facilitation. In a recent PNAS paper, Li et al. (1) describe the novel finding that maize exudates promote faba bean nodulation and nitrogen fixation by upregulating genes involved in (iso)flavonoids synthesis (chalcone-flavanone isomerase) within faba bean, resulting in production of more genistein, a legume-to-rhizobia signal during establishment of the faba bean N2-fixing symbiosis. Although we salute the authors methodological efforts, there is another mechanism that could be responsible for the effect of corn root exudates on faba been nitrogen fixation observed in this article (1). The authors may misunderstand their data and the signalling role of maize exudates, thus got a defective model for the root interactions between faba bean and maize.

plant biology↗