Institution
Huazhong University of Science and Technology
Education•Wuhan, China•
About: Huazhong University of Science and Technology is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Population & Computer science. The organization has 120339 authors who have published 122521 publications receiving 2168040 citations. The organization is also known as: Central China University of Science and Technology.
Topics: Population, Computer science, Medicine, Laser, Catalysis
Papers published on a yearly basis
Papers
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TL;DR: A protocol on DNA-nanostructure-based programmable engineering of the biomolecular recognition interface is reported, which provides a universal electrochemical biosensing platform for the ultrasensitive detection of nucleic acids, proteins, small molecules and whole cells.
Abstract: The occurrence and prognosis of many complex diseases, such as cancers, is associated with the variation of various molecules, including DNA at the genetic level, RNA at the regulatory level, proteins at the functional level and small molecules at the metabolic level (defined collectively as multilevel molecules). Thus it is highly desirable to develop a single platform for detecting multilevel biomarkers for early-stage diagnosis. Here we report a protocol on DNA-nanostructure-based programmable engineering of the biomolecular recognition interface, which provides a universal electrochemical biosensing platform for the ultrasensitive detection of nucleic acids (DNA/RNA), proteins, small molecules and whole cells. The protocol starts with the synthesis of a series of differentially sized, self-assembled tetrahedral DNA nanostructures (TDNs) with site-specifically modified thiol groups that can be readily anchored on the surface of a gold electrode with high reproducibility. By exploiting the rigid structure, nanoscale addressability and versatile functionality of TDNs, one can tailor the type of biomolecular probes appended on individual TDNs for the detection of specific molecules of interest. Target binding occurring on the gold surface patterned with TDNs is quantitatively translated into electrochemical signals via a coupled enzyme-based catalytic process. This uses a sandwich assay strategy in which biotinylated reporter probes recognize TDN-bound target biomolecules, which then allow binding of horseradish-peroxidase-conjugated avidin (avidin-HRP). Hydrogen peroxide (H2O2) is then reduced by avidin-HRP in the presence of TMB (3,3',5,5'-tetramethylbenzidine) to generate a quantitative electrochemical signal. The time range for the entire protocol is ∼1 d, whereas the detection process takes ∼30 min to 3 h.
286 citations
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TL;DR: An in vivo bacteria-infected wound-healing experiment indicates that the APA-modified AuNPs (Au_APA) has a striking ability to remedy a MDR bacteria wound infection and can assist the wound care for bacterial infections.
Abstract: Remedying a multidrug-resistant (MDR) bacteria wound infection is a major challenge due to the inability of conventional antibiotics to treat such infections against MDR bacteria. Thus, developing wound dressings for wound care, particularly against MDR bacteria, is in huge demand. Here, we present a strategy in designing wound dressings: we use a small molecule (6-aminopenicillanic acid, APA)-coated gold nanoparticles (AuNPs) to inhibit MDR bacteria. We dope the AuNPs into electrospun fibers of poly(e-caprolactone) (PCL)/gelatin to yield materials that guard against wound infection by MDR bacteria. We systematically evaluate the bactericidal activity of the AuNPs and wound-healing capability via the electrospun scaffold. APA-modified AuNPs (Au_APA) exhibit remarkable antibacterial activity even when confronted with MDR bacteria. Meanwhile, Au_APA has outstanding biocompatibility. Moreover, an in vivo bacteria-infected wound-healing experiment indicates that it has a striking ability to remedy a MDR bacte...
285 citations
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TL;DR: The results suggested that cir-ITCH may play an inhibitory role in lung cancer progression by enhancing its parental gene, ITCH, expression.
Abstract: As a special form of noncoding RNAs, circular RNAs (circRNAs) played important roles in regulating cancer progression mainly by functioning as miRNA sponge. While the function of circular RNA-ITCH (cir-ITCH) in lung cancer is still less reported, in this study, we firstly detected the expression of cir-ITCH in tumor tissues and paired adjacent noncancer tissues of 78 patients with lung cancer using a TaqMan-based quantitative real-time PCR (qRT-PCR). The results showed that the expression of cir-ITCH was significantly decreased in lung cancer tissues. In cellular studies, cir-ITCH was also enhanced in different lung cancer cell lines, A549 and NIC-H460. Ectopic expression of cir-ITCH markedly elevated its parental cancer-suppressive gene, ITCH, expression and inhibited proliferation of lung cancer cells. Molecular analysis further revealed that cir-ITCH acted as sponge of oncogenic miR-7 and miR-214 to enhance ITCH expression and thus suppressed the activation of Wnt/β-catenin signaling. Altogether, our results suggested that cir-ITCH may play an inhibitory role in lung cancer progression by enhancing its parental gene, ITCH, expression.
285 citations
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TL;DR: An existing resilience assessment framework for single systems to interdependent systems is adapted and the proposed method can help decision makers search optimum joint restoration strategy, which can significantly enhance both systems’ resilience.
285 citations
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TL;DR: A cancer-specific circRNA database is constructed (CSCD) that could significantly contribute to the research for the function and regulation of cancer-associated circRNAs.
Abstract: Circular RNA (circRNA) is a large group of RNA family extensively existed in cells and tissues. High-throughput sequencing provides a way to view circRNAs across different samples, especially in various diseases. However, there is still no comprehensive database for exploring the cancer-specific circRNAs. We collected 228 total RNA or polyA(-) RNA-seq samples from both cancer and normal cell lines, and identified 272 152 cancer-specific circRNAs. A total of 950 962 circRNAs were identified in normal samples only, and 170 909 circRNAs were identified in both tumor and normal samples, which could be further used as non-tumor background. We constructed a cancer-specific circRNA database (CSCD, http://gb.whu.edu.cn/CSCD). To understand the functional effects of circRNAs, we predicted the microRNA response element sites and RNA binding protein sites for each circRNA. We further predicted potential open reading frames to highlight translatable circRNAs. To understand the association between the linear splicing and the back-splicing, we also predicted the splicing events in linear transcripts of each circRNA. As the first comprehensive cancer-specific circRNA database, we believe CSCD could significantly contribute to the research for the function and regulation of cancer-associated circRNAs.
285 citations
Authors
Showing all 121301 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
Frank B. Hu | 250 | 1675 | 253464 |
Zhong Lin Wang | 245 | 2529 | 259003 |
Edward Giovannucci | 206 | 1671 | 179875 |
Eric B. Rimm | 196 | 988 | 147119 |
Yang Yang | 171 | 2644 | 153049 |
Gang Chen | 167 | 3372 | 149819 |
John B. Goodenough | 151 | 1064 | 113741 |
Yoshio Bando | 147 | 1234 | 80883 |
Guanrong Chen | 141 | 1652 | 92218 |
Lihong V. Wang | 136 | 1118 | 72482 |
Yu Huang | 136 | 1492 | 89209 |
Richard G. Pestell | 130 | 479 | 54210 |
Dmitri Golberg | 129 | 1024 | 61788 |
Britton Chance | 128 | 1112 | 76591 |