Activity

rapa and B. oleracea were retained as homologous gene pairs in B. napus. Ka/Ks analysis indicated that the majority of BnaCaM/CML experienced purifying selection. Expression analysis showed that BnaCaMs genes are highly and ubiquitously expressed in all of the organs and tissues examined, while distinct BnaCMLs are expressed specifically in particular organs and tissues. BI-2865 supplier In total, 129 BnaCaM/CML were induced by abiotic stress and phytohormones. BnaCMLs from group IV, VI, VIII, and X were strongly induced by freezing treatment, but were not or just slightly induced by chilling treatment. The present study is the first to analyze the CaM/CML gene family in B. napus, which is useful for understanding the functions of the BnaCaM/CML in modulating plant responses to abiotic stress, especially freezing stress.NHX5 and NHX6, endosomal Na+,K+/H+ antiporters in Arabidopsis thaliana, play a vital role in growth and development. Our previous study has shown that NHX5 and NHX6 function as H+ leak to regulate auxin-mediated growth in Arabidopsis. In this report, we investigated the function of NHX5 and NHX6 in controlling PIN6-mediated auxin homeostasis and growth in Arabidopsis. Phenotypic analyses found that NHX5 and NHX6 were critical for the function of PIN6, an auxin transporter. We further showed that PIN6 depended on NHX5 and NHX6 in regulating auxin homeostasis. NHX5 and NHX6 were colocalized with PIN6, but they did not interact physically. The conserved acidic residues that are vital for the activity of NHX5 and NHX6 were critical for PIN6 function. Together, NHX5 and NHX6 may regulate PIN6 function by their transport activity.MicroRNAs (miRNAs) are important biomarkers for the diagnosis, prognosis, and treatment of human diseases. Sensitive and selective detection of multiple miRNAs simultaneously will greatly facilitate the early and accurate diagnosis of cancers. Herein, a novel entropy-driven amplification system-templated silver nanoclusters sensing platform was developed for the multiplexed analysis of tumor-associated miRNAs. The sensing platform was constructed by coupling target-triggered entropy-driven catalysis with luminescence adjustable DNA-templated silver nanoclusters (Ag NCs). In the presence of target miRNA, the sensing platform initiates the branch migration and strand displacement of the complex, which has a six-base cytosine loop for stabilizing the luminous Ag NCs. The target is cyclically generated for new catalysis while turning off the fluorescence of Ag NCs; this is accompanied by a significantly amplified optical readout. In this study, two different complex-stabilized Ag NCs systems were proposed, the yellow-emitting Ag NCs and red-emitting Ag NCs biosensors enabled the analysis of miRNA-141 and miRNA-155 with detection limits of 6.1 pM and 8.7 pM, respectively. Impressively, owing to the excellent selectivity, flexibility, and narrow-band excitation of the platform, the multiplexed synchronous detection of miRNA-141 and miRNA-155 were achieved in buffer, biological cell lysates and human serum samples with satisfactory results. The simple, flexible, and convenient strategy provides a powerful tool for multiple biomarkers analysis and related clinical applications.In this work, the development and testing of a novel fiber-optic based label-free biosensor is presented, whose performance were verified through the detection of C-reactive protein (CRP) in serum. The device is based on a long period grating fabricated in a double cladding fiber with a W-shaped refractive index (RI) profile. As a result, the working point of the device was tuned to the mode transition region by chemical etching of the outer fiber cladding, obtaining a significant enhancement of the RI sensitivity and an excellent visibility of the grating resonances due to the mode transition in an all-silica structure. The fiber transducer was coated with a nanometric thin layer of graphene oxide in order to provide functional groups for the covalent immobilization of the biological recognition element. A very low limit of detection of about 0.15 ng/mL was obtained during the detection of CRP in serum, and a large working range (1 ng/mL – 100 μg/mL) of clinical relevance has been also achieved.Tremendous research and commercialization efforts around the world are focused on developing novel wearable electrochemical biosensors that can noninvasively and continuously screen for biochemical markers in body fluids for the prognosis, diagnosis and management of diseases, as well as the monitoring of fitness. Researchers in North America are leading the development of innovative wearable platforms that can comfortably comply to the human body and efficiently sample fluids such as sweat, interstitial fluids, tear and saliva for the electrochemical detection of biomarkers through various sensing approaches such as potentiometric ion selective electrodes and amperometric enzymatic sensors. We start this review with a historical timeline overviewing the major milestones in the development of wearable electrochemical sensors by North American institutions. We then describe how such research efforts have led to pioneering developments and are driving the advancement and commercialization of wearable electrochemical sensors from minimally invasive continuous glucose monitors for chronic disease management to non-invasive sweat electrolyte sensors for dehydration monitoring in fitness applications. While many countries across the globe have contributed significantly to this rapidly emerging field, their contributions are beyond the scope of this review. Furthermore, we share our perspective on the promising future of wearable electrochemical sensors in applications spanning from remote and personalized healthcare to wellness.The development of new diagnostics techniques and modalities is critical for early detection of microbial contamination. In this study, the novel integrated system for multi-parametric optical phenotyping and characterization of bacterial colonies, is presented. The system combines Mach-Zehnder interferometer with a spectral imaging system for capturing multispectral diffraction patterns and multispectral two-dimensional transmission maps of bacterial colonies, along with the simultaneous interferometric profilometry. The herein presented investigation was carried out on five representative bacteria species and nearly 3000 registered multispectral optical signatures. The interferograms were analyzed by four-step phase shift algorithm to reconstruct the colony profile to enable the obtaining of the comparable optical signatures. The dedicated image processing algorithms were used for extraction of quantitative features of these signatures. The random forest algorithm was applied for selection of the most predictive set of features, which were used in classification model based on Support-Vector Machine.