Efficient Screening of Combinatorial Peptide Libraries by Spatially Ordered Beads Immobilized on Conventional Glass Slides.

Q2 Biochemistry, Genetics and Molecular Biology High-Throughput Pub Date : 2019-04-30 DOI:10.3390/ht8020011
Timm Schwaar, Maike Lettow, Dario Remmler, Hans G Börner, Michael G Weller
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引用次数: 5

Abstract

Screening of one-bead-one-compound (OBOC) libraries is a proven procedure for the identification of protein-binding ligands. The demand for binders with high affinity and specificity towards various targets has surged in the biomedical and pharmaceutical field in recent years. The traditional peptide screening involves tedious steps such as affinity selection, bead picking, sequencing, and characterization. Herein, we present a high-throughput "all-on-one chip" system to avoid slow and technically complex bead picking steps. On a traditional glass slide provided with an electrically conductive tape, beads of a combinatorial peptide library are aligned and immobilized by application of a precision sieve. Subsequently, the chip is incubated with a fluorophore-labeled target protein. In a fluorescence scan followed by matrix-assisted laser desorption/ionization (MALDI)-time of flight (TOF) mass spectrometry, high-affinity binders are directly and unambiguously sequenced with high accuracy without picking of the positive beads. The use of an optimized ladder sequencing approach improved the accuracy of the de-novo sequencing step to nearly 100%. The new technique was validated by employing a FLAG-based model system, identifying new peptide binders for the monoclonal M2 anti-FLAG antibody, and was finally utilized to search for IgG-binding peptides. In the present format, more than 30,000 beads can be screened on one slide.

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用常规玻片固定空间有序微球高效筛选组合肽库。
筛选单头单化合物(OBOC)文库是鉴定蛋白质结合配体的一种行之有效的方法。近年来,生物医学和制药领域对对各种靶点具有高亲和力和特异性的结合剂的需求激增。传统的肽筛选涉及繁琐的步骤,如亲和选择,头采摘,测序和表征。在此,我们提出了一个高通量的“全芯片”系统,以避免缓慢和技术复杂的头拾取步骤。在带有导电带的传统玻璃载玻片上,组合肽库的珠通过精密筛的应用排列并固定。随后,芯片与荧光团标记的目标蛋白一起孵育。在荧光扫描之后,基质辅助激光解吸/电离(MALDI)飞行时间(TOF)质谱法,高亲和粘合剂直接和明确的测序,具有高精度,而无需挑选阳性珠。使用优化的阶梯测序方法将从头测序步骤的准确性提高到接近100%。利用基于flag的模型系统验证了新技术,鉴定了单克隆M2抗flag抗体的新肽结合物,并最终用于寻找igg结合肽。在目前的格式下,一张幻灯片上可以放映3万多个珠子。
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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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