12 research outputs found
Motor-Based Autonomous Microsensor for Motion and Counting Immunoassay of Cancer Biomarker
A motor-based autonomous microsensor
is proposed for in situ visualization
immunoassay of cancer biomarkers through motion readout or tag counting.
The microsensor is prepared by functionalizing a newly designed gold-nanoparticle-modified
self-propelled polyaniline/Pt (AuNP/PANI/Pt) micromotor with capture
antibody. The autonomous movement of the microsensor in the fuel-enhanced
sample mixture results in the fast and selective recognition of the
protein target and subsequent loading of the secondary-antibody-modified
glycidyl methacrylate microspheres (GMA), which slows down the movement
of the sensing microengine. The velocity of the microsensor and the
number of GMA conjugated on the microsensor can be conveniently visualized
using optical microscopy. They are negatively and positively correlated
with the target concentration, respectively. Therefore, the microsensor
can conveniently distinguish the concentration of carcinoembryonic
antigen in a range of 1–1000 ng/mL. The motor-based microsensor
can be easily prepared in batch using AuNP/PANI/Pt. The whole detection
procedure for protein target can be completed in 5 min without any
washing and separation step. This method shows considerable promise
for diverse clinical and diagnostic applications
Motor-Based Autonomous Microsensor for Motion and Counting Immunoassay of Cancer Biomarker
A motor-based autonomous microsensor
is proposed for in situ visualization
immunoassay of cancer biomarkers through motion readout or tag counting.
The microsensor is prepared by functionalizing a newly designed gold-nanoparticle-modified
self-propelled polyaniline/Pt (AuNP/PANI/Pt) micromotor with capture
antibody. The autonomous movement of the microsensor in the fuel-enhanced
sample mixture results in the fast and selective recognition of the
protein target and subsequent loading of the secondary-antibody-modified
glycidyl methacrylate microspheres (GMA), which slows down the movement
of the sensing microengine. The velocity of the microsensor and the
number of GMA conjugated on the microsensor can be conveniently visualized
using optical microscopy. They are negatively and positively correlated
with the target concentration, respectively. Therefore, the microsensor
can conveniently distinguish the concentration of carcinoembryonic
antigen in a range of 1–1000 ng/mL. The motor-based microsensor
can be easily prepared in batch using AuNP/PANI/Pt. The whole detection
procedure for protein target can be completed in 5 min without any
washing and separation step. This method shows considerable promise
for diverse clinical and diagnostic applications
Table1_Fitness costs of resistance to insecticide pymetrozine combined with antimicrobial zhongshengmycin in Nilaparvata lugens (Stål).docx
The brown planthopper, Nilaparvata lugens (Stål), is a major pest of rice crops, and its control is critical for food security. Pymetrozine has been recommended as an alternative to imidacloprid for controlling N. lugens, but the pest has developed high resistance to it, making its prohibition and restriction urgent. To address this issue, we conducted a study using a mixture of pymetrozine and zhongshengmycin with the effective ratio of 1:40, to evaluate the fitness costs in N. lugens. Our results showed that N. lugens had a relative fitness of 0.03 under this ratio, with significantly reduced longevity, female and male adult periods, total pre-oviposition days, and fecundity. Moreover, the expression levels of the uricase gene (EC1.7.3.3) and farnesyl diphosphate farnesyl transferase gene (EC2.5.1.21) were reduced in N. lugens. These genes are involved in urea metabolism and steroid biosynthesis pathway, respectively, and their suppression can interfere with the normal nutritional function of N. lugens. Our study demonstrates that the combination of chemical insecticides and antimicrobials can delay the development of resistance and improve the efficiency of pest control. This information is valuable for researchers developing management strategies to delay the development of pymetrozine resistance in N. lugens.</p
L'Auto-vélo : automobilisme, cyclisme, athlétisme, yachting, aérostation, escrime, hippisme / dir. Henri Desgranges
28 juillet 19231923/07/28 (A24,N8260)
Label-Free Microchannel Immunosensor Based on Antibody–Antigen Biorecognition-Induced Charge Quenching
Pursuing convenient operations and precise testing have
become
an urgent requirement in clinical diagnosis, treatment, and prognosis.
Label-free detection is desirable for obviating the labeling process
while maintaining high sensitivity and efficiency. Here, we used the
dual properties of highly selective antibody–antigen recognition
and potential signaling of biomolecules to construct a label-free
electroosmotic flow-driven microchannel (LF-EMB) biosensor based on
an antibody–antigen biorecognition-induced charge quenching
theory proposed herein. The LF-EMB consists of a one-step immune-reaction,
one-button portable device, and supporting microfluidic chip, providing
a high-powered tool for rapid on-site testing. The LF-EMB quantified
interleukin-6 and kanamycin levels down to 1 pg/mL and 5 pg/mL, respectively,
with the whole analysis completed within 35 min. The outstanding sensitivity
and detection speed of the constructed LF-EMB provide a convenient
option for the quantitative detection of inflammatory markers and
antibiotics
MOESM1 of Tri11, tri3, and tri4 genes are required for trichodermin biosynthesis of Trichoderma brevicompactum
Additional file 1: Table S1. Primers used to construct plasmid pKT
MOESM2 of Tri11, tri3, and tri4 genes are required for trichodermin biosynthesis of Trichoderma brevicompactum
Additional file 2: Table S2. Primers used for qRT-PCR
DataSheet_1_Comparison of preoperative CT- and MRI-based multiparametric radiomics in the prediction of lymph node metastasis in rectal cancer.docx
ObjectiveTo compare computed tomography (CT)- and magnetic resonance imaging (MRI)-based multiparametric radiomics models and validate a multi-modality, multiparametric clinical-radiomics nomogram for individual preoperative prediction of lymph node metastasis (LNM) in rectal cancer (RC) patients.Methods234 rectal adenocarcinoma patients from our retrospective study cohort were randomly selected as the training (n = 164) and testing (n = 70) cohorts. The radiomics features of the primary tumor were extracted from the non-contrast enhanced computed tomography (NCE-CT), the enhanced computed tomography (CE-CT), the T2-weighted imaging (T2WI) and the gadolinium contrast-enhanced T1-weighted imaging (CE-TIWI) of each patient. Three kinds of models were constructed based on training cohort, including the Clinical model (based on the clinical features), the radiomics models (based on NCE-CT, CE-CT, T2WI, CE-T1WI, CT, MRI, CT combing with MRI) and the clinical-radiomics models (based on CT or MRI radiomics model combing with clinical data) and Clinical-IMG model (based on CT and MRI radiomics model combing with clinical data). The performances of the 11 models were evaluated via the area under the receiver operator characteristic curve (AUC), accuracy, sensitivity, and specificity in the training and validation cohort. Differences in the AUCs among the 11 models were compared using DeLong’s test. Finally, the optimal model (Clinical-IMG model) was selected to create a radiomics nomogram. The performance of the nomogram to evaluate clinical efficacy was verified by ROC curves and decision curve analysis (DCA).ResultsThe MRI radiomics model in the validation cohort significantly outperformed than CT radiomics model (AUC, 0.785 vs. 0.721, pConclusionMRI radiomics model performed better than both CT radiomics model and Clinical model in predicting LNM of RC. The clinical-radiomics nomogram that combines the radiomics features obtained from both CT and MRI along with preoperative clinical characteristics exhibits the best diagnostic performance.</p