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#38652440   2024/04/23 To Up

CRISPR-Cas13a-Triggered DNAzyme Signal Amplification-Based Colorimetric miRNA Detection Method and Its Application in Evaluating the Anxiety.

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Na Yan, Zhiwei Hu, Lingling Zhang

1431 related Products with: CRISPR-Cas13a-Triggered DNAzyme Signal Amplification-Based Colorimetric miRNA Detection Method and Its Application in Evaluating the Anxiety.

100tests100tests100tests100tests100tests100tests100tests100tests100tests100tests100tests 100ul

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#38652321   2024/04/23 To Up

Advances in miniature CRISPR-Cas proteins and their applications in gene editing.

The CRISPR-Cas system consists of Cas proteins and single-stranded RNAs that recruit Cas proteins and specifically target the nucleic acid. Some Cas proteins can accurately cleave the target nucleic acid under the guidance of the single-stranded RNAs. Due to its exceptionally high specificity, the CRISPR-Cas system is now widely used in various fields such as gene editing, transcription regulation, and molecular diagnosis. However, the huge size of the most frequently utilized Cas proteins (Cas9, Cas12a, and Cas13, which contain 950-1,400 amino acids) can limit their applicability, especially in eukaryotic gene editing, where larger Cas proteins are difficult to deliver into the target cells. Recently discovered miniature CRISPR-Cas proteins, consisting of only 400 to 800 amino acids, offer the possibility of overcoming this limitation. This article systematically reviews the latest research progress of several miniature CRISPR-Cas proteins (Cas12f, Cas12j, Cas12k, and Cas12m) and their practical applications in the field of gene editing.
Huimin Wu, Yixiang Sun, Yimai Wang, Liqiang Luo, Yizhi Song

2867 related Products with: Advances in miniature CRISPR-Cas proteins and their applications in gene editing.

101 Set100 7 x 25 ul

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#38652294   2024/04/23 To Up

Plant diversity increases spatial stability of aboveground productivity in alpine grasslands.

Plant diversity can significantly affect the grassland productivity and its stability. However, it remains unclear how plant diversity affects the spatial stability of natural grassland productivity, especially in alpine regions that are sensitive to climate change. We analyzed the interaction between plant (species richness and productivity, etc.) and climatic factors (precipitation, temperature, and moisture index, etc.) of alpine natural grassland on the Qinghai-Tibetan Plateau. In addition, we tested the relationship between plant diversity and spatial stability of grassland productivity. Results showed that an increase in plant diversity significantly enhanced community productivity and its standard deviation, while reducing the coefficient of variation in productivity. The influence of plant diversity on productivity and the reciprocal of productivity variability coefficient was not affected by vegetation types. The absolute values of the regression slopes between climate factors and productivity in alpine meadow communities with higher plant diversity were smaller than those in alpine meadow communities with lower plant diversity. In other words, alpine meadow communities with higher plant diversity exhibited a weaker response to climatic factors in terms of productivity, whereas those with lower plant diversity showed a stronger response. Our results indicate that high plant diversity buffers the impact of ambient pressure (e.g., precipitation, temperature) on alpine meadow productivity, and significantly enhanced the spatial stability of grassland productivity. This finding provides a theoretical basis for maintaining the stability of grassland ecosystems and scientifically managing alpine grasslands under the continuous climate change.
Zeng Cui, Jian Sun, Gao-Lin Wu

2846 related Products with: Plant diversity increases spatial stability of aboveground productivity in alpine grasslands.

4/120 Packing /sleeve/bo4/120 Packing /sleeve/bo96tests4/120 Packing /sleeve/bo1 Set1 Set5 mg 0.1 mg

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#38652189   2024/04/23 To Up

Siderophore-producing bacteria from Spitsbergen soils-novel agents assisted in bioremediation of the metal-polluted soils.

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Małgorzata Majewska, Anna Słomka, Agnieszka Hanaka

1107 related Products with: Siderophore-producing bacteria from Spitsbergen soils-novel agents assisted in bioremediation of the metal-polluted soils.

1

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#38652094   2024/04/23 To Up

Sulfonic Acid Functionalized Ionic Liquids for Defect Passivation via Molecular Interactions for High-Quality Perovskite Films and Stable Solar Cells.

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Junhui Fang, Liang Wang, Zhaoyang Chen, Shuai Wang, Lin Yuan, Aamir Saeed, Iqbal Hussain, Jianwei Zhao, Ruixia Liu, Qingqing Miao

2932 related Products with: Sulfonic Acid Functionalized Ionic Liquids for Defect Passivation via Molecular Interactions for High-Quality Perovskite Films and Stable Solar Cells.

1 G 500 G 1 G20 ug10 mg 1 G25 g 1 G 2x5L5 g 100 G

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#38651920   2024/04/23 To Up

Biomechanical effects of clear aligner with different shape design at extraction space area during anterior teeth retraction.

This study aimed to investigate the biomechanical effects of clear aligner (CA) with different shape designs at extraction space (CAES) area during space closing.
Bochun Mao, Yajing Tian, Yujia Xiao, Jiayi Liu, Dawei Liu, Jing Li, Yanheng Zhou

2729 related Products with: Biomechanical effects of clear aligner with different shape design at extraction space area during anterior teeth retraction.

5100ug Lyophilized10 ug100ul100μl20 ul100 extractions100ug 50 MG100ul100 extractions1 ml

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#38651836   2024/04/23 To Up

Machine Learning for Experimental Reactivity of a Set of Metal Clusters toward C-H Activation.

Understanding the mechanisms of C-H activation of alkanes is a very important research topic. The reactions of metal clusters with alkanes have been extensively studied to reveal the electronic features governing C-H activation, while the experimental cluster reactivity was qualitatively interpreted case by case in the literature. Herein, we prepared and mass-selected over 100 rhodium-based clusters (RhVO and RhCoO) to react with light alkanes, enabling the determination of reaction rate constants spanning six orders of magnitude. A satisfactory model being able to quantitatively describe the rate data in terms of multiple cluster electronic features (average electron occupancy of valence s orbitals, the minimum natural charge on the metal atom, cluster polarizability, and energy gap involved in the agostic interaction) has been constructed through a machine learning approach. This study demonstrates that the general mechanisms governing the very important process of C-H activation by diverse metal centers can be discovered by interpreting experimental data with artificial intelligence.
Xi-Guan Zhao, Qi Yang, Ying Xu, Qing-Yu Liu, Zi-Yu Li, Xiao-Xiao Liu, Yan-Xia Zhao, Sheng-Gui He

1437 related Products with: Machine Learning for Experimental Reactivity of a Set of Metal Clusters toward C-H Activation.

100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized100ug Lyophilized 100ul100ug Lyophilized100ug Lyophilized100 μg100ug Lyophilized100ug Lyophilized100ug Lyophilized

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#38651620   2024/04/23 To Up

Acceptor-Reactivity-Controlled Stereoconvergent Synthesis and Immunological Activity of a Unique Pentasaccharide from the Cell Wall Polysaccharide of Cutibacterium acnes C7.

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Tianhui Hao, Ke Feng, Hongzhen Jin, Jiawei Li, Chenkai Zhou, Xingbang Liu, Wei Zhao, Fan Yu, Tiehai Li

1845 related Products with: Acceptor-Reactivity-Controlled Stereoconvergent Synthesis and Immunological Activity of a Unique Pentasaccharide from the Cell Wall Polysaccharide of Cutibacterium acnes C7.

1 kit100ug100 Tests100 Tests100ug Lyophilized1 kit100 Tests100ug Lyophilized

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