更新于：2024-11-01

CLEC3A

更新于：2024-11-01

基本信息

别名

C-type lectin domain family 3 member A、C-type lectin superfamily member 1、Cartilage-derived C-type lectin

+ [2]

简介

Promotes cell adhesion to laminin-332 and fibronectin.

关联

项与 CLEC3A 相关的药物

WO2024170711

专利挖掘

靶点

CLEC3A

作用机制-

在研机构

Universität zu Köln

原研机构

Universität zu Köln

在研适应症

感染

非在研适应症-

最高研发阶段药物发现

首次获批国家/地区-

首次获批日期1800-01-20

100 项与 CLEC3A 相关的临床结果

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100 项与 CLEC3A 相关的转化医学

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0 项与 CLEC3A 相关的专利（医药）

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项与 CLEC3A 相关的文献（医药）

2023-10-11·Antibiotics (Basel, Switzerland)

Modified CLEC3A-Derived Antimicrobial Peptides Lead to Enhanced Antimicrobial Activity against Drug-Resistant Bacteria.

Article

作者: Elezagic, Dzemal ; Klatt, Andreas R ; Drexelius, Marco G ; Roth, Annika ; Grabeck, Joshua ; Hermes, Gabriele ; Neundorf, Ines ; Meinberger, Denise ; Streichert, Thomas

Antimicrobial peptides (AMPs) represent a promising alternative to conventional antibiotics. Sequence changes can significantly improve the therapeutic properties of antimicrobial peptides. In our study, we apply different sequence modifications to enhance the performance of the CLEC3A-derived AMPs HT-16 and HT-47. We truncated their sequences, inserting a triple-glycine linker, adding an N-terminal tryptophan residue, and generating a D-amino acid variant, resulting in the generation of seven new peptides. We investigated their antimicrobial activity against gram-positive and gram-negative bacteria, their cytotoxicity to murine cells, and the biostability of the modified peptides in serum. We identified a novel antimicrobial peptide, WRK-30, with enhanced antimicrobial potency against S. aureus and MRSA. Additionally, WRK-30 was less cytotoxic to eukaryotic cells, allowing its application in higher concentrations in an in vivo setting. In conclusion, we identified a novel CLEC3A-derived antimicrobial peptide WRK-30 with significantly improved therapeutic properties and the potential to widen the repertoire of conventional antibiotics.

2023-07-15·Journal of colloid and interface science

Regulating the thickness of the carbon coating layer in iron/carbon heterostructures to enhance the catalytic performance for oxygen evolution reaction.

Article

作者: Tang, Xiangmin ; Wu, Shuaiwei ; Chen, Yutao ; Yue, Qu ; Li, Xiaoqin ; Li, Shulong ; Xiao, Dan ; Gao, Taotao ; Lan, Hai ; He, Bin ; Yu, Shumin

The exploration of high-performance electrocatalysts for the oxygen evolution reaction (OER) is crucial and urgent for the fast development of green and renewable hydrogen energy. Herein, an ultra-fast and energy-efficient preparation strategy (microwave-assisted rapid in-situ pyrolysis of organometallic compounds induced by carbon nanotube (CNT)) is developed to obtain iron/carbon (Fe/C) heterogeneous materials (Fe/Fe₃C particles wrapped by carbon coating layer). The thickness of the carbon coating layer can be adjusted by changing the content and form of carbon in the metal sources during the fast preparation process. Fe/Fe₃C-A@CNT using iron acetylacetonate as metal sources possesses unique Fe/C heterogeneous, small Fe/Fe₃C particles encapsulated by the thin carbon coating layer (1.77 nm), and obtains the optimal electron penetration effect. The electron penetration effect derives from the redistribution of charge between the surface carbon coating layer and inner Fe/Fe₃C nanoparticles efficiently improving both catalytic activity and stability. Therefore, Fe/Fe₃C-A@CNT shows efficient OER catalytic activity, just needing a low overpotential of 292 mV to reach a current density of 10 mA cm^-², and long-lasting stability. More importantly, the unique control strategy for carbon thickness in this work provides more opportunity and perspective to prepare robust metal/carbon-based catalytic materials at the nanoscale.

2023-06-30·Breast cancer research : BCR

MRI-based breast cancer radiogenomics using RNA profiling: association with subtypes in a single-center prospective study.

Article

作者: Han, Mi-Ryung ; Ju, Hye-Yeon ; Park, Hyun Soo ; Seo, Bo Kyoung ; Cho, Kyu Ran ; Son, Gil Soo ; Song, Sung Eun ; Chang, Young Woo ; Choi, Jungyoon ; Park, Ah Young ; Woo, Ok Hee ; Lee, Hye Yoon

BACKGROUNDThere are few prospective studies on the correlations between MRI features and whole RNA-sequencing data in breast cancer according to molecular subtypes. The purpose of our study was to explore the association between genetic profiles and MRI phenotypes of breast cancer and to identify imaging markers that influences the prognosis and treatment according to subtypes.METHODSFrom June 2017 to August 2018, MRIs of 95 women with invasive breast cancer were prospectively analyzed, using the breast imaging-reporting and data system and texture analysis. Whole RNA obtained from surgical specimens was analyzed using next-generation sequencing. The association between MRI features and gene expression profiles was analyzed in the entire tumor and subtypes. Gene networks, enriched functions, and canonical pathways were analyzed using Ingenuity Pathway Analysis. The P value for differential expression was obtained using a parametric F test comparing nested linear models and adjusted for multiple testing by reporting Q value.RESULTSIn 95 participants (mean age, 53 years ± 11 [standard deviation]), mass lesion type was associated with upregulation of CCL3L1 (sevenfold) and irregular mass shape was associated with downregulation of MIR421 (sixfold). In estrogen receptor-positive cancer with mass lesion type, CCL3L1 (21-fold), SNHG12 (11-fold), and MIR206 (sevenfold) were upregulated, and MIR597 (265-fold), MIR126 (12-fold), and SOX17 (fivefold) were downregulated. In triple-negative breast cancer with increased standard deviation of texture analysis on precontrast T1-weighted imaging, CLEC3A (23-fold), SRGN (13-fold), HSPG2 (sevenfold), KMT2D (fivefold), and VMP1 (fivefold) were upregulated, and IGLC2 (73-fold) and PRDX4 (sevenfold) were downregulated (all, P < 0.05 and Q < 0.1). Gene network and functional analysis showed that mass type estrogen receptor-positive cancers were associated with cell growth, anti-estrogen resistance, and poor survival.CONCLUSIONMRI characteristics are associated with the different expressions of genes related to metastasis, anti-drug resistance, and prognosis, depending on the molecular subtypes of breast cancer.