scholarly journals Direct conversion of human fibroblasts to brown adipocytes by small chemical compounds

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Yukimasa Takeda ◽  
Yoshinori Harada ◽  
Toshikazu Yoshikawa ◽  
Ping Dai
Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Dong Li ◽  
Bi Ma ◽  
Xiaofei Xu ◽  
Guo Chen ◽  
Tian Li ◽  
...  

Abstract Mulberry is an important economic crop plant and traditional medicine. It contains a huge array of bioactive metabolites such as flavonoids, amino acids, alkaloids and vitamins. Consequently, mulberry has received increasing attention in recent years. MMHub (version 1.0) is the first open public repository of mass spectra of small chemical compounds (<1000 Da) in mulberry leaves. The database contains 936 electrospray ionization tandem mass spectrometry (ESI-MS2) data and lists the specific distribution of compounds in 91 mulberry resources with two biological duplicates. ESI-MS2 data were obtained under non-standardized and independent experimental conditions. In total, 124 metabolites were identified or tentatively annotated and details of 90 metabolites with associated chemical structures have been deposited in the database. Supporting information such as PubChem compound information, molecular formula and metabolite classification are also provided in the MS2 spectral tag library. The MMHub provides important and comprehensive metabolome data for scientists working with mulberry. This information will be useful for the screening of quality resources and specific metabolites of mulberry. Database URL: https://biodb.swu.edu.cn/mmdb/


Nature ◽  
2010 ◽  
Vol 468 (7323) ◽  
pp. 521-526 ◽  
Author(s):  
Eva Szabo ◽  
Shravanti Rampalli ◽  
Ruth M. Risueño ◽  
Angelique Schnerch ◽  
Ryan Mitchell ◽  
...  

Author(s):  
Serena Dotolo ◽  
Anna Marabotti ◽  
Angelo Facchiano ◽  
Roberto Tagliaferri

Abstract Drug repurposing involves the identification of new applications for existing drugs at a lower cost and in a shorter time. There are different computational drug-repurposing strategies and some of these approaches have been applied to the coronavirus disease 2019 (COVID-19) pandemic. Computational drug-repositioning approaches applied to COVID-19 can be broadly categorized into (i) network-based models, (ii) structure-based approaches and (iii) artificial intelligence (AI) approaches. Network-based approaches are divided into two categories: network-based clustering approaches and network-based propagation approaches. Both of them allowed to annotate some important patterns, to identify proteins that are functionally associated with COVID-19 and to discover novel drug–disease or drug–target relationships useful for new therapies. Structure-based approaches allowed to identify small chemical compounds able to bind macromolecular targets to evaluate how a chemical compound can interact with the biological counterpart, trying to find new applications for existing drugs. AI-based networks appear, at the moment, less relevant since they need more data for their application.


2015 ◽  
Vol 51 (56) ◽  
pp. 11236-11239 ◽  
Author(s):  
Xiaojiao Du ◽  
Ding Jiang ◽  
Nan Hao ◽  
Qian Liu ◽  
Jing Qian ◽  
...  

The electrochemiluminescence (ECL) technique was combined with the “ON1–OFF–ON2” strategy based on the chemical reactions and specific binding among different small chemical compounds for the highly sensitive detection of nonelectroactive organophosphate pesticides.


2021 ◽  
Author(s):  
Yu Wu ◽  
Nassim Mahtal ◽  
Lea Swistak ◽  
Sara Sagadiev ◽  
Mridu Acharya ◽  
...  

A challenge for the development of host-targeted anti-infectives against a large spectrum of AB-like toxin-producing bacteria encompasses the identification of chemical compounds corrupting toxin transport through both endolysosomal and retrograde pathways. Here, we performed a high-throughput screening of small chemical compounds blocking active Rac1 proteasomal degradation triggered by the Cytotoxic Necrotizing Factor-1 (CNF1) toxin, followed by orthogonal screens against two AB toxins hijacking defined endolysosomal (Diphtheria toxin) or retrograde (Shiga-like toxin 1) pathways to intoxicate cells. This led to the identification of the molecule N-(3,3-diphenylpropyl)-1-propyl-4-piperidinamine, referred to as C910. This compound induces the swelling of EEA1-positive early endosomes, in absence of PIKfyve kinase inhibition, and disturbs the trafficking of CNF1 and the B-subunit of Shiga toxin along the endolysosomal or retrograde pathways, respectively. Together, we show that C910 protects cells against 8 bacterial AB toxins including large clostridial glucosylating toxins from Clostridium difficile. Of interest, C910 also reduced viral infection in vitro including influenza A virus subtype H1N1 and SARS-CoV-2. Moreover, parenteral administration of C910 to the mice resulted in its accumulation in lung tissues and reduced lethal influenza infection.


2019 ◽  
Author(s):  
Itaru Ninomiya ◽  
Masato Kanazawa ◽  
Akihide Koyama ◽  
Masahiro Hatakeyama ◽  
Osamu Onodera

SummaryPrevious studies reported that human fibroblasts and astrocytes were successfully converted into neuronal cells by small molecules without introducing ectopic transgenes. Induced neuronal cells—reprogrammed directly from dermal fibroblasts or brain astrocytes—were obtained from some donors; however, the clinical applications of this approach would be limited because it requires an invasive biopsy to harvest enough cells for derivation. Here, we report that adult human peripheral blood monocytes may be directly converted into neuron-like cells using only a combination of small molecules without transgene integration. This method enables neuronal cell generation from TUJ1-positive cells after 3 days of induction (at over 80% conversion efficacy). These cells presented neuronal morphologies and markers, suggesting that terminally differentiated human cells may be efficiently transdifferentiated into a distantly related lineage. Overall, our study provides a strategy to develop neuronal cells directly from human adult peripheral blood monocytes using a generate transgene-free, chemical-only approach.


2017 ◽  
Vol 8 (1) ◽  
pp. 54-68 ◽  
Author(s):  
Pei-Shan Hou ◽  
Ching-Yu Chuang ◽  
Chan-Hsien Yeh ◽  
Wei Chiang ◽  
Hsiao-Jung Liu ◽  
...  

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