Engineering Papers⌕ Search

SEARCH · Engineering Papers

Results for “GENES”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 973 records · Page 54
All sourcesNASA NTRSDOE OSTI
DOE OSTI2018

StPOTHR1, a NDR1/HIN1-like gene in Solanum tuberosum, enhances resistance against Phytophthora infestans

Highlights: • The expression of StPOTHR1 was positively correlated to the levels of potato resistance to P. infestans. • Suppression of POTHR1 does not compromise R-mediated cell death. • Overexpression of StPOTHR1 enhances resistance against P. infestans via restricting rapid pathogen proliferation. • StPOTHR1 is localized in plasma membrane and undergoes posttranslational modifications. A family of NDR1/HIN1-like (NHL) genes that shows homology to the nonrace-specific disease resistance (NDR1) and the tobacco (Nicotiana tabacum) harpin-induced (HIN1) genes is reported to be involved in defense. However, little information about NHL genes is available for the potato (Solanum tuberosum). Here, we report that the expression of StPOTHR1, a member of the NHL gene family, is associated with resistance in potato against Phytophthora infestans, and is specifically induced in inoculation sites. Overexpression of StPOTHR1 enhances resistance against P. infestans via restricting rapid pathogen proliferation. Further, suppression of StPOTHR1 does not compromise R-mediated cell death. Subcellular localization and posttranscription modifications (PTMs) analysis reveals that StPOTHR1 is localized in plasma membrane (PM) and undergoes multiple PTMs. Moreover, StPOTHR1 interacts with NbMKK5L, a component of the MAP kinase signaling cascade. Taken together, our results suggest that the PM-localized StPOTHR1 contributes to potato immunity against P. infestans and may be associated with the MAP kinase signaling cascade.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

Deficiency of α Calcitonin-gene-related peptide impairs peri-implant angiogenesis and osseointegration via suppressive vasodilative activity

Highlights: • Peri-implant neovasculature in metaphyseal femur increased and then declined within 14 days during healing process. • Deficiency of αCGRP impeded peri-implant angiogenesis and vascular remodeling alongside with osteogenesis. • The osteogenic and angiogenic effect of αCGRP might be a consequence of its vasodilative activity. Blood supply is essential for the bone healing process to obtain successful osseointegration. α Calcitonin gene-related peptide (αCGRP) is osteoanabolic and is the most potent microvascular vasodilator currently known with validated angiogenic effect in vitro. We previously demonstrated that lentiviral αCGRP overexpression vector system could express the gene effectively to enhance titanium implant osseointegration. In this study, we investigated the effect of αCGRP on peri-implant angiogenesis during healing process in vivo. Based on investigation of blood vessel alteration in the peri-implant region of wild-type mice, we found a reduced angiogenesis alongside a decline in bone-implant contact percentage and bone mass in αCGRP {sup −/−} mice. Overexpression of αCGRP could partly rescue the impairment. Alterations were also detected in three-dimensional vascular structural parameters and expression of bone and vessel related genes. The results showed αCGRP increased vascular volume fraction and mean vessel size, as well as spatially relocated vessels approximate to the region of bone formation. And angiogenic and osteogenic genes were significantly upregulated in the transfection and αCGRP{sup +/+} group. These results suggested that αCGRP played a synergic role in angiogenesis and osseointegration, partly as a consequence of its vasodilative activity.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

Decursin and decursinol angelate improve wound healing by upregulating transcription of genes encoding extracellular matrix remodeling proteins, inflammatory cytokines, and growth factors in human keratinocytes

Highlights: • Decursin and decursinol angelate can improve wound healing below proper concentration. • The treatment of these compounds upregulates the genes of extracellular matrix remodeling proteins for wound healing. • Also, these compounds upregulate the genes of inflammatory cytokines, and growth factors. • The genes upregulated by decursin are different by decursinol angelate even though their structure is very similar. The coumarins decursin and decursinol angelate, which are found in Angelica gigas Nakai, have a variety of biological functions. Here, we show that treatment with these compounds improves wound healing by HaCaT human keratinocytes. Wound healing was increased by treatment with up to a threshold concentration of decursin, decursinol angelate, a mixture of both, and a nano-emulsion of these compounds, but inhibited by treatment with higher concentrations. Immunoblotting and fluorescence imaging of cells expressing an epidermal growth factor receptor (EGFR) biosensor demonstrated that these compounds did not stimulate wound healing by inducing EGFR phosphorylation. Rather, transcriptional analysis revealed that decursin and decursinol angelate improved wound healing by upregulating the expression of genes encoding extracellular matrix remodeling proteins, inflammatory cytokines, and growth factors.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

ERα is a negative regulator of PD-L1 gene transcription in breast cancer

Highlights: • PD-L1 mRNA level is much lower in ERα-positive breast cancer cell lines. • E2 treatment inhibits PD-L1 gene transcription in ERα-positive MCF7 cells. • Ectopic expression of ERα down-regulates PD-L1 gene expression in ERα-negative MDA-MB-231 cells. • ERα expression is negatively correlated with PD-L1 expression in ERα-positive breast cancer. The programmed death-ligand 1 (PD-L1) expression by tumors results in potent antitumor immune suppression through binding to programmed death-1 (PD-1) on T cells and subsequent inhibition of T cells activity. Although recent pathological studies have shown that PD-L1 is actively expressed in certain ERα-negative breast cancer, little is known about whether ER signaling regulates PD-L1 gene expression. Here, we investigated the relationship between ERα and PD-L1 in breast cancer. Analysis of Comprehensive Cell Line Encyclopedia (CCLE) data showed that the average mRNA level of PD-L1 in ERα-positive breast cancer cell lines was significantly lower than that in ERα-negative breast cancer cell lines. E2 treatment inhibited PD-L1 mRNA expression in hormone-depleted ERα-positive MCF7 cells. Moreover, ectopic expression of ERα in triple-negative MDA-MB-231 cells reduced PD-L1 mRNA and protein expression. Consistently, analysis of The Cancer Genome Atlas (TCGA) data revealed an inverse correlation between ERα and PD-L1 expression in ERα-positive breast cancer. Taken together, our results identify ERα as a negative regulator of PD-L1 gene transcription in breast cancer cells, suggesting that ERα loss-of-function may facilitate the immune evasion of breast cancer cells via up-regulation of PD-L1.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2013

Cell-Type-Specific Profiling of Gene Expression and Chromatin Binding without Cell Isolation: Assaying RNA Pol II Occupancy in Neural Stem Cells

Cell-type-specific transcriptional profiling often requires the isolation of specific cell types from complex tissues. We have developed ‘‘TaDa,’’ a technique that enables cell-specific profiling without cell isolation. TaDa permits genome-wide profiling of DNA- or chromatin-binding proteins without cell sorting, fixation, or affinity purification. The method is simple, sensitive, highly reproducible, and transferable to any model system. We show that TaDa can be used to identify transcribed genes in a celltype-specific manner with considerable temporal precision, enabling the identification of differential gene expression between neuroblasts and the neuroepithelial cells from which they derive. We profile the genome-wide binding of RNA polymerase II in these adjacent, clonally related stem cells within intact Drosophila brains. Our data reveal expression of specific metabolic genes in neuroepithelial cells, but not in neuroblasts, and highlight gene regulatory networks that may pattern neural stem cell fates.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2018

Plant roots alter microbial functional genes supporting root litter decomposition

Decomposition of soil organic carbon is central to the global carbon cycle and profoundly affected by plant roots. While root “priming” of decomposition has been extensively investigated, it is not known how plants alter the molecular ecology of soil microbial decomposers. We disentangled the effects of Avena fatua, a common annual grass, on 13 C-labeled root litter decomposition and quantified multiple genetic characteristics of soil bacterial and fungal communities. In our study, plants consistently suppressed rates of root litter decomposition. Microbes from planted soils had relatively more genes coding for low molecular weight compound degradation enzymes, while those from unplanted had more macromolecule degradation genes. Higher abundances of “water stress” genes in planted soils suggested that microbes experienced plant-induced water stress. We developed a conceptual model based on Mantel analyses of our extensive data set. This model indicates that plant root effects on the multiple soil environmental and microbial mechanisms involved in root litter decomposition act through changing the functional gene profiles of microbial decomposers living near plant roots.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2017

Convulxin, a C-type lectin-like protein, inhibits HCASMCs functions via WAD-motif/integrin-αv interaction and NF-κB-independent gene suppression of GRO and IL-8

Convulxin (CVX), a C-type lectin-like protein (CLPs), is a potent platelet aggregation inducer. To evaluate its potential applications in angiogenic diseases, the multimeric CVX were further explored on its mode of actions toward human coronary artery smooth muscle cells (HCASMCs). The N-terminus of β-chain of CVX (CVX-β) contains a putative disintegrin-like domain with a conserved motif upon the sequence comparison with other CLPs. Importantly, native CVX had no cytotoxic activity as examined by electrophoretic pattern. A Trp-Ala–Asp (WAD)-containing octapeptide, MTWADAEK, was thereafter synthesized and analyzed in functional assays. In the case of specific integrin antagonists as positive controls, the anti-angiogenic effects of CVX on HCASMCs were investigated by series of functional analyses. CVX showed to exhibit multiple inhibitory activities toward HCASMCs proliferation, adhesion and invasion with a dose- and integrin αvβ3-dependent fashion. However, the WAD-octapeptide exerting a minor potency could also work as an active peptidomimetic. In addition, flow cytometric analysis demonstrated both the intact CVX and synthetic peptide can specifically interact with integrin-αv on HCASMCs and CVX was shown to have a down-regulatory effect on the gene expression of CXC-chemokines, such as growth-related oncogene and interleukin-8. According to nuclear factor-κB (NF-κB) p65 translocation assay and Western blotting analysis, the NF-κB activation was not involved in the signaling events of CVX-induced gene expression. In conclusion, CVX may act as a disintegrin-like protein via the interactions of WAD-motif in CVX-β with integrin-αv on HCASMCs and it also is a gene suppressor with the ability to diminish the expression of two CXC-chemokines in a NF-κB-independent manner. Indeed, more extensive investigations are needed and might create a new avenue for the development of a novel angiostatic agent. - Highlights: • The tetrameric convulxin (CVX) with WAD-motif could affect HCASMC multi-functions. • CVX significantly diminished cell proliferation, adhesion and invasion in HCASMCs. • The WAD-motif/integrin-αv interaction was involved in its suppressive mechanism. • CVX impaired the gene expression of GRO and IL-8 with a NF-κB independent manner.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

Molecular Toolkit for Gene Expression Control and Genome Modification in Rhodococcus opacus PD630

Rhodococcus opacus PD630 is a non-model, gram-positive bacterium that possesses desirable traits for lignocellulosic biomass conversion. In particular, it has a relatively rapid growth rate, exhibits genetic tractability, produces high quantities of lipids, and can tolerate and consume toxic, lignin-derived aromatic compounds. Despite these unique, industrially relevant characteristics, R. opacus has been underutilized due to a lack of reliable genetic parts and engineering tools. In this work, we developed a molecular toolbox for reliable gene expression control and genome modification in R. opacus. To facilitate predictable gene expression, a constitutive promoter library spanning ~45-fold in output was constructed. To improve the characterization of available plasmids, the copy numbers of four heterologous and nine endogenous plasmids were determined using quantitative PCR. The molecular toolbox was further expanded by screening a previously unreported antibiotic resistance marker (HygR) and constructing a curable plasmid backbone for temporary gene expression (pB264). Furthermore, a system for genome modification was devised, and three neutral integration sites were identified using a novel combination of transcriptomic data, genomic architecture, and growth rate analysis. Finally, the first reported system for targeted, tunable gene repression in Rhodococcus was developed by utilizing CRISPR interference (CRISPRi). Overall, this work greatly expands the ability to manipulate and engineer R. opacus, making it a viable new chassis for bioproduction from renewable feedstocks.

09 BIOMASS FUELS↗
DOE OSTI2016

Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations

Multiple models describe the formation and evolution of distinct microbial phylogenetic groups. These evolutionary models make different predictions regarding how adaptive alleles spread through populations and how genetic diversity is maintained. Processes predicted by competing evolutionary models, for example, genome-wide selective sweeps vs gene-specific sweeps, could be captured in natural populations using time-series metagenomics if the approach were applied over a sufficiently long time frame. Direct observations of either process would help resolve how distinct microbial groups evolve. Using a 9-year metagenomic study of a freshwater lake (2005–2013), we explore changes in single-nucleotide polymorphism (SNP) frequencies and patterns of gene gain and loss in 30 bacterial populations. SNP analyses revealed substantial genetic heterogeneity within these populations, although the degree of heterogeneity varied by >1000-fold among populations. SNP allele frequencies also changed dramatically over time within some populations. Interestingly, nearly all SNP variants were slowly purged over several years from one population of green sulfur bacteria, while at the same time multiple genes either swept through or were lost from this population. Furthermore, these patterns were consistent with a genome-wide selective sweep in progress, a process predicted by the ‘ecotype model’ of speciation but not previously observed in nature. In contrast, other populations contained large, SNP-free genomic regions that appear to have swept independently through the populations prior to the study without purging diversity elsewhere in the genome. Finally, evidence for both genome-wide and gene-specific sweeps suggests that different models of bacterial speciation may apply to different populations coexisting in the same environment.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2014

An Arabidopsis gene regulatory network for secondary cell wall synthesis

The plant cell wall is an important factor for determining cell shape, function and response to the environment. Secondary cell walls, such as those found in xylem, are composed of cellulose, hemicelluloses and lignin and account for the bulk of plant biomass. The coordination between transcriptional regulation of synthesis for each polymer is complex and vital to cell function. A regulatory hierarchy of developmental switches has been proposed, although the full complement of regulators remains unknown. In this paper, we present a protein–DNA network between Arabidopsis thaliana transcription factors and secondary cell wall metabolic genes with gene expression regulated by a series of feed-forward loops. This model allowed us to develop and validate new hypotheses about secondary wall gene regulation under abiotic stress. Distinct stresses are able to perturb targeted genes to potentially promote functional adaptation. Finally, these interactions will serve as a foundation for understanding the regulation of a complex, integral plant component.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2015

Safeguarding CRISPR-Cas9 gene drives in yeast

RNA-guided gene drives capable of spreading genomic alterations made in laboratory organisms through wild populations could be used to address environmental and public health problems. However, the possibility of unintended genome editing occurring through the escape of strains from laboratories, coupled with the prospect of unanticipated ecological change, demands caution. In this, we report the efficacy of CRISPR-Cas9 gene drive systems in wild and laboratory strains of the yeast Saccharomyces cerevisiae . Furthermore, we address concerns surrounding accidental genome editing by developing and validating methods of molecular confinement that minimize the risk of unwanted genome editing. We also present a drive system capable of overwriting the changes introduced by an earlier gene drive. These molecular safeguards should enable the development of safe CRISPR gene drives for diverse organisms.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2023

Ecological divergence of syntopic marine bacterial species is shaped by gene content and expression

Identifying mechanisms by which bacterial species evolve and maintain genomic diversity is particularly challenging for the uncultured lineages that dominate the surface ocean. A longitudinal analysis of bacterial genes, genomes, and transcripts during a coastal phytoplankton bloom revealed two co-occurring, highly related Rhodobacteraceae species from the deeply branching and uncultured NAC11-7 lineage. These have identical 16S rRNA gene amplicon sequences, yet their genome contents assembled from metagenomes and single cells indicate species-level divergence. Moreover, shifts in relative dominance of the species during dynamic bloom conditions over 7 weeks confirmed the syntopic species’ divergent responses to the same microenvironment at the same time. Genes unique to each species and genes shared but divergent in per-cell inventories of mRNAs accounted for 5% of the species’ pangenome content. These analyses uncover physiological and ecological features that differentiate the species, including capacities for organic carbon utilization, attributes of the cell surface, metal requirements, and vitamin biosynthesis. Such insights into the coexistence of highly related and ecologically similar bacterial species in their shared natural habitat are rare.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2023

Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet

Finger millet is a key food security crop widely grown in eastern Africa, India and Nepal. Long considered a ‘poor man’s crop’, finger millet has regained attention over the past decade for its climate resilience and the nutritional qualities of its grain. To bring finger millet breeding into the 21 st century, here we present the assembly and annotation of a chromosome-scale reference genome. We show that this ~1.3 million years old allotetraploid has a high level of homoeologous gene retention and lacks subgenome dominance. Population structure is mainly driven by the differential presence of large wild segments in the pericentromeric regions of several chromosomes. Trait mapping, followed by variant analysis of gene candidates, reveals that loss of purple coloration of anthers and stigma is associated with loss-of-function mutations in the finger millet orthologs of the maize R1/B1 and Arabidopsis GL3/EGL3 anthocyanin regulatory genes. Proanthocyanidin production in seed is not affected by these gene knockouts.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2024

Barcoded overexpression screens in gut Bacteroidales identify genes with roles in carbon utilization and stress resistance

Abstract A mechanistic understanding of host-microbe interactions in the gut microbiome is hindered by poorly annotated bacterial genomes. While functional genomics can generate large gene-to-phenotype datasets to accelerate functional discovery, their applications to study gut anaerobes have been limited. For instance, most gain-of-function screens of gut-derived genes have been performed in Escherichia coli and assayed in a small number of conditions. To address these challenges, we develop Barcoded Overexpression BActerial shotgun library sequencing (Boba-seq). We demonstrate the power of this approach by assaying genes from diverse gut Bacteroidales overexpressed in Bacteroides thetaiotaomicron . From hundreds of experiments, we identify new functions and phenotypes for 29 genes important for carbohydrate metabolism or tolerance to antibiotics or bile salts. Highlights include the discovery of a d -glucosamine kinase, a raffinose transporter, and several routes that increase tolerance to ceftriaxone and bile salts through lipid biosynthesis. This approach can be readily applied to develop screens in other strains and additional phenotypic assays.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2024

Adaptive gene loss in the common bean pan-genome during range expansion and domestication

The common bean ( Phaseolus vulgaris L.) is a crucial legume crop and an ideal evolutionary model to study adaptive diversity in wild and domesticated populations. Here, we present a common bean pan-genome based on five high-quality genomes and whole-genome reads representing 339 genotypes. It reveals ~234 Mb of additional sequences containing 6,905 protein-coding genes missing from the reference, constituting 49% of all presence/absence variants (PAVs). More non-synonymous mutations are found in PAVs than core genes, probably reflecting the lower effective population size of PAVs and fitness advantages due to the purging effect of gene loss. Our results suggest pan-genome shrinkage occurred during wild range expansion. Selection signatures provide evidence that partial or complete gene loss was a key adaptive genetic change in common bean populations with major implications for plant adaptation. The pan-genome is a valuable resource for food legume research and breeding for climate change mitigation and sustainable agriculture.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2025

Machine learning reveals genes impacting oxidative stress resistance across yeasts

Reactive oxygen species (ROS) are highly reactive molecules encountered by yeasts during routine metabolism and during interactions with other organisms, including host infection. Here, we characterize the variation in resistance to the ROS-inducing compound tert -butyl hydroperoxide across the ancient yeast subphylum Saccharomycotina and use machine learning (ML) to identify gene families whose sizes are predictive of ROS resistance. The most predictive features are enriched in gene families related to cell wall organization and include two reductase gene families. We estimate the quantitative contributions of features to each species’ classification to guide experimental validation and show that overexpression of the old yellow enzyme (OYE) reductase increases ROS resistance in Kluyveromyces lactis , while Saccharomyces cerevisiae mutants lacking multiple mannosyltransferase-encoding genes are hypersensitive to ROS. Altogether, this work provides a framework for how ML can uncover genetic mechanisms underlying trait variation across diverse species and inform trait manipulation for clinical and biotechnological applications.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2026

BiG-SCAPE 2.0 and BiG-SLiCE 2.0: scalable, accurate and interactive sequence clustering of metabolic gene clusters

Microbial metabolic gene clusters encode the biosynthesis or catabolism of metabolites that facilitate ecological specialization, mediate microbiome interactions and constitute a major source of medicines and crop protection agents. Here, we present BiG-SCAPE and BiG-SLiCE 2.0, next-generation methods that facilitate scalable, accurate and interactive gene cluster analyses. BiG-SCAPE 2.0 updates its classification, alignment methods, and visualizations, enabling more accurate analysis, up to 8x faster runtimes and halved memory requirements. BiG-SLiCE 2.0 updates its distance metric, pHMM database, and classification logic, resulting in increased sensitivity nearing that of BiG-SCAPE. Analysis of 260,630 biosynthetic gene clusters from publicly available genomes reveals that both tools generate concurring estimates of gene cluster diversity, thus providing significantly extended methodological support for recent evidence indicating that the vast majority of natural product diversity remains unexplored. Together, these updates will facilitate global genome mining efforts for natural product discovery and microbiome analyses scalable with current data sizes.

Draisma, Arjan [Wageningen University & Research (↗
DOE OSTI2019

Gene expression imputation across multiple brain regions provides insights into schizophrenia risk.

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

Huckins, Laura M↗