These results demonstrated a novel external light controlled Fe2+-generation approach based on biomineral, which will fully tap the anti-cancer potential of Fe2+ in chemo-dynamic, photo-dynamic and immune-activating therapies.A technology capable of sequencing individual protein molecules would revolutionize our understanding of biological processes. Nanopore technology can analyze single heteropolymer molecules such as DNA by measuring the ionic current flowing through a single nanometer hole made in an electrically insulating membrane. This current is sensitive to the monomer sequence. However, proteins are remarkably complex and identifying a single residue change in a protein remains a challenge. In this work, I show that simple neural networks can be trained to recognize protein mutants. Although these networks are quickly and efficiently trained, their ability to generalize in an independent experiment is poor. Using a thermal annealing protocol on the nanopore sample, and examining many mutants with the same nanopore sensor are measures aimed at reducing training data variability which produce an increase in the generalizability of the trained neural network. Using this approach, we obtain a 100% correct assignment among 9 mutants in >50% of the experiments. Interestingly, the neural network performance, compared to a random guess, improves as more mutants are included in the dataset for discrimination. Engineered nanopores prepared with high homogeneity coupled with state-of-the-art analysis of the ionic current signals may enable single-molecule protein sequencing.The demand for forensic DNA profiling at the crime scene or at police stations is increasing. DNA profiling is currently performed in specialized laboratories by PCR amplification of Short Tandem Repeats (STR) followed by amplicon sizing using capillary electrophoresis. The need for bulky equipment to identify alleles after PCR presents a challenge for shifting to a decentralized workflow. We devised a novel hybridization-based STR-genotyping method, using Short Tandem Repeat Identification (STRide) probes, which could help tackle this issue. STRide probes are fluorescently labeled oligonucleotides that rely on the quenching properties of guanine on fluorescein derivatives. Mismatches between STRide probes and amplicons can be detected by melting curve analysis after asymmetric PCR. The functionality of the STRide probes was demonstrated by analyzing synthetic DNA samples for the D16S539 locus. Next, STRide probes were developed for five different CODIS core loci (D16S539, TH01, TPOX, FGA, and D7S820). These probes were validated by analyzing 13 human DNA samples. Successful genotyping was obtained using inputs as low as 31 pg of DNA, demonstrating high sensitivity. The STRide probes are ideally suited to be implemented in a microarray and present an important step towards a portable device for fast on-site forensic DNA fingerprinting.A biosensor based on the release of the enzyme substrate from its structure was developed for the inhibitive detection of benzoic acid. A polyurethane support comprising two perforated microcapsules (800 μm in diameter) filled with methylene blue as a model compound and covered with a conductive deposit of multiwalled carbon nanotubes, continuously released this stored dye for 24 h. An increase in methylene blue concentration of 0.5-0.75 μmol L-1 h-1 and 1.5-2 μmol L-1 h-1, in the presence and absence of the multiwalled carbon nanotube coating, respectively, was demonstrated by UV-vis spectroscopy in a 2 mL UV cuvette. The same configuration with microcapsules filled with catechol was modified by a laponite clay coating containing tyrosinase enzyme. The resulting biosensor exhibits a constant cathodic current at -0.155 V vs AgCl/Ag, due to the reduction of the ortho-quinone produced enzymatically from the released catechol. The detection of benzoic acid was recorded from the decrease in cathodic current due to its inhibiting action on the tyrosinase activity. Reagentless biosensors based on different deposited quantity of tyrosinase (100, 200, 400 and 600 μg) were investigated for the detection of catechol and applied to the detection of benzoic acid as inhibitor. The best performance was obtained with the 400 μg-based configuration, namely a detection limit of 0.4 μmol L-1 and a sensitivity of 228 mA L mol-1. After the inhibition process, the biosensors recover 97-100% of their activity towards catechol, confirming a reversible inhibition by benzoic acid.Human integral membrane protein 2B (ITM2B or Bri2) is a member of the BRICHOS family, proteins that efficiently prevent Aβ42 aggregation via a unique mechanism. The identification of novel Bri2 BRICHOS client proteins could help elucidate signaling pathways and determine novel targets to prevent or cure amyloid diseases. To identify Bri2 BRICHOS interacting partners, we carried out a 'protein fishing' experiment using recombinant human (rh) Bri2 BRICHOS-coated magnetic particles, which exhibit essentially identical ability to inhibit Aβ42 fibril formation as free rh Bri2 BRICHOS, in combination with proteomic analysis on homogenates of SH-SY5Y cells. We identified 70 proteins that had more significant interactions with rh Bri2 BRICHOS relative to the corresponding control particles. Three previously identified Bri2 BRICHOS interacting proteins were also identified in our 'fishing' experiments. The binding affinity of Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), the top 'hit', was calculated and was identified as a strong interacting partner. Enrichment analysis of the retained proteins identified three biological pathways Rho GTPase, heat stress response and pyruvate, cysteine and methionine metabolism.Cholestasis is characterized by obstruction of bile flow and can lead to serious liver injury. Vorinostat chemical structure With sustained damage, cholestasis can progress to cholestatic liver fibrosis (CLF), and cirrhosis. Non-invasive, predictive, and reliable metabolites based on the early and progressive stages of CLF are urgently needed. Based on the 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC)-induced CLF mouse model, serum metabolic profiling via a time-series strategy with ultra-performance liquid chromatography-LTQ-Orbitrap-based metabolomics, combined with histological progression, was used to find CLF-specific metabolites, and explore their dynamic changes in progressive stages of CLF. Compared to those in the control group, DDC-induced groups showed a substantial elevation in cholestatic liver injury and fibrosis indices. Next, 21 differential serum metabolites were selected and identified between the normal (control) and DDC groups, and 12 of them were greatly altered over time. Among these, taurocholic acid, tauromuricholic acid, LysoPE (202), sulfoglycolithocholic acid, and taurohyodeoxycholic acid were associated with the progression of the hepatocyte injury index, alanine aminotransferase.