核酸适配体在胰腺癌中的应用研究进展

胰腺癌(pancreatic adenocarcinoma,PAC)是死亡率最高的癌症之一,实现PAC的早期诊断和早期治疗具有重大意义。核酸适配体(aptamer,Apt)是通过指数富集的配体系统进化技术(systematic evolution of ligands by exponential enrichment,SELEX)筛选得到的具有高亲和性、高特异性识别靶标分子的单链DNA或RNA,被称为化学抗体,其不仅具有类似抗体的特点,同时还有易修饰、生产成本低、无免疫源性、识别范围广等优点,因此在肿瘤诊断和治疗中具有很好的应用前景。目前,已筛选得到的多个识别PAC的核酸适配体被广泛应用在PAC的诊断和靶向治疗中。文中主要综述了与PAC相关的核酸适配体,对这一领域最新的研究进展进行了总结,并对目前存在的问题和挑战进行了深入的讨论。     

适配体结合蛋白质靶标的亲和力表征方法及其在疾病诊断中的应用

核酸适配体是通过体外指数富集配体系统进化（SELEX）技术筛选获得,并能够和蛋白质靶标高特异性、高亲和力结合的单链寡核苷酸。核酸适配体不但具有抗体的识别特性,而且具有自己独特的优良性能,目前已应用于分析检验、食品安全和生物医药等各个领域。蛋白质具有多种多样的生物功能以及临床诊断价值。因此,核酸适配体针对蛋白质靶标并在蛋白质相关的基础研究领域受到广泛的关注。核酸适配体应用性能的优劣取决于与其靶标蛋白质的亲和力与特异性。本文主要综述核酸适配体对蛋白质靶标的亲和力表征方法,以及在药物研发、肿瘤检测、生物成像以及生物传感器方面的应用。     

综述与专论: 核酸适配体筛选与亲和力评价技术主要研究方向、进展与挑战

核酸适配体是一类具有特异性分子识别能力的单链DNA或者RNA分子,通过指数富集的配体系统进化技术（SELEX）筛选得到。核酸适配体相比抗体具有热稳定性高、便于化学合成与修饰、免疫原性低等优点,在生物分析、生物医学、生物技术等众多领域引起广泛关注。高质量的核酸适配体是应用的基础,然而目前能够满足实际应用的核酸适配体数量还非常有限。如何获得高亲和力、高特异性、高体内稳定性的核酸适配体是核酸适配体领域的技术瓶颈。本文首先简单介绍了SELEX技术的基本原理和核酸库的设计、筛选过程监控、次级文库制备、测序和候选适配体筛选等关键步骤。接着归纳总结了30多年来核酸适配体筛选技术的6个主要研究方向、研究进展和局限性。这6个主要研究方向分别是提高适配体特异性的筛选方法、提高适配体稳定性（抗核酸酶降解能力）的筛选方法、快速筛选方法、复杂靶标适配体筛选方法、小分子靶标适配体筛选方法、提高适配体亲和力的筛选方法。其中快速筛选技术是长期以来持续关注的研究方向,几乎所有物理分离手段都已用于提高SELEX的筛选效率。最近,高效化学反应与SELEX技术的结合为核酸适配体的快速筛选提供了新的策略。本文随后对适合小分子靶标核酸适配体筛选的3类方法进展和存在的问题进行了重点评述。这3类方法分别是基于靶标固定的筛选技术、基于文库固定的筛选技术（捕获-SELEX,Capture-SELEX）和均相筛选技术（氧化石墨烯-SELEX,GO-SELEX）。基于靶标固定的筛选技术尽管存在空间位阻等众多问题,由于其操作的简单性,目前依然应用广泛。近年来Capture-SELEX应用广泛。结合36种靶标适配体的筛选实验条件（文库设计、正筛靶标浓度、负筛靶标的选择和浓度）和所获得的适配体的亲和力（K_D,解离常数,dissociation constant）和特异性,对Capture-SELEX的实验条件与适配体性能的关系进行了讨论。统计数据表明,降低正筛靶标浓度有利于提高适配体的亲和力,但不是必要条件。负筛选是目前提高适配体特异性的主要技术手段,但适配体的特异性还不能满足实际需求。负筛选靶标及其浓度的选择差异很大,而且36种靶标中有20种靶标的适配体筛选没有进行负筛选。如何提高核酸适配体的特异性是目前小分子靶标核酸适配体所面临的难题,急需寻找新的策略。本文还列表归纳了近三年利用GO-SELEX进行的13种小分子靶标的实验条件和所获得的适配体的K_D和特异性。统计数据表明,GO-SELEX比Capture-SELEX所需要的筛选轮数少,两种方法所获得的适配体的亲和力多在纳摩尔每升水平。Capture-SELEX相对较低的筛选效率应该主要由于文库的自解离问题。核酸适配体的亲和力评价是候选核酸适配体结构与性能评价的重要组成部分。常用的核酸适配体亲和力评价技术包括基于分离、基于固定、均相体系三大类十多种方法。假阳性和假阴性是各种评价技术都有可能存在的问题。本文以纳米金比色法和等温热滴定技术为例评述技术进展,讨论导致不同亲和力评价技术结果不一致性问题的根本原因。本文最后对核酸适配体筛选技术、亲和力评价技术和技术的标准化的未来发展趋势进行了展望。     

综述与专论: 基于核酸适配体传感器的即时检测（POCT）技术

即时检测（point-of-care testing，POCT）是一种检测成本低、检测速度快、准确度高、能自我采样获得临床诊断结果的新型诊断技术。该技术在临床诊断、病情监控与疫情防控等领域发挥了重要作用。核酸适配体是一种能够特异性识别多种靶标的分子探针，具有易合成、批间差异小、易实现信号放大等突出优势，是生物医学传感器中重要的分子识别元件。本文概述了核酸适配体探针的现有筛选方法和进展，总结了核酸适配体POCT传感器信号放大策略，着重介绍了各类核酸适配体传感器在POCT领域的应用现状，并对核酸适配体POCT传感器的发展前景进行了展望。     

全细菌SELEX法筛选粪肠球菌特异性适配体

肠球菌（Enterococcus）是内源性和外源性医院感染的第二大病原菌,检出率仅次于大肠杆菌,从分子水平上发展靶标的高亲和力分子探针对肠球菌的识别和检测具有非常重要的意义。本研究以粪肠球菌为靶标,运用全细菌指数富集的配体系统进化技术（whole-bacteria systematic evolution of ligands by exponential enrichment, whole-bacteria SELEX）,从全长为79个核苷酸包含35个随机碱基序列的单链DNA文库中筛选与靶标高亲和力、高特异性结合的适配体,利用荧光分析法监控筛选过程中不同轮次所得次级文库与粪肠球菌的结合力,经12轮筛选和克隆测序,获得了39条适配体序列。进一步对筛选得到的适配体进行序列比对、二级结构分析、流式细胞分析、解离常数（Kd）测定及特异性验证,最终获得一条与粪肠球菌能特异性结合的适配体Apt 21,其Kd值为549.2 ± 147.4 nmol/L。该适配体可作为粪肠球菌检测的识别元件,为建立基于适配体的新型粪肠球菌检测方法奠定了基础。     

小分子靶标与其核酸适配体亲和力的表征方法

核酸适配体是指通过SELEX筛选得到的能与靶标高特异性、高亲和力结合的单链DNA或RNA。目前国内外具有高亲和性和高特异性结合的小分子靶标的核酸适配体依然很少,究其原因,一方面是因为小分子靶标的适配体难以筛选,另一方面是小分子靶标与其候选适配体亲和力表征方法难以确定。亲和力表征是确定适配体筛选成功与否的关键步骤,就现有的小分子靶标与其相应适配体亲和力表征方法进行了总结,包括纳米金比色法、等温滴定量热法、表面等离子共振、圆二色谱法、石英晶体微天平法、微量热泳动法和SYBR Green I染料检测法等,并分析了这些方法的优缺点及改进建议,以期有助于提高适配体表征效率。     

综述与专论: 核酸适配体在分子医学中的应用

分子医学着眼于从疾病的分子层面出发,为个性化精准诊疗提供解决方案。然而,在众多疾病的诊疗中由于缺乏有力的分子识别工具,目前从分子水平上理解和研究疾病仍受到制约。核酸适配体是通过指数富集的配体系统进化（SELEX）技术在体外筛选得到的单链寡核苷酸,具有高选择性、高亲和力、易细胞内化、良好的组织渗透和快速的组织积累能力。近年来,由于其易合成、成本低、稳定性高且免疫原性低,核酸适配体作为分子工具应用于疾病的诊疗一体化受到广泛关注。本综述围绕分子医学中的核酸适配体,讨论了核酸适配体在疾病诊断中的应用,包括基于核酸适配体的肿瘤标志物发现、液体活检、分子成像。介绍了核酸适配体在癌症治疗中的应用包括基于核酸适配体的抑制剂、核酸适配体药物偶联物、纳米药物和核酸适配体介导的免疫治疗。最后对核酸适配体在临床诊疗和产业化面临的问题进行了讨论,包括基于应用场景的筛选方法、核酸适配体与靶标复合物结构、亲和力的机制以及核酸适配体在血液循环中的稳定性等方面。     

核酸适配体及其在病原微生物学中的应用

核酸适配体指利用指数富集配体系统进化技术筛选出的寡聚核苷酸片段,它可以特异性地识别靶标并与之结合,已经广泛应用于基础研究、临床诊断、纳米技术等。以下综述了适配体在微生物学方面的应用。     

大鼠成骨细胞特异单链DNA适配体的筛选与鉴定

目的:筛选能特异识别大鼠成骨细胞的单链DNA(ssDNA)适配体并对其进行鉴定。方法:利用完整细胞为靶标的消减细胞SELEX技术筛选大鼠成骨细胞特异ssDNA适配体,通过荧光显微镜、流式细胞术、基因克隆测序、MEME在线软件和RNA structure分析软件,分析适配体的一、二级结构,并对筛选得到的适配体进行鉴定。结果:经过6轮消减细胞SELEX筛选,荧光显微镜鉴定文库已富集;通过流式细胞术检测及测序分析,得到2条适配体L54和L66与大鼠成骨细胞特异结合,其平衡解离常数分别为494.4±133.3和511.4±160.7 nmol/L。结论:筛选获得特异识别大鼠成骨细胞的ssDNA适配体。     

细胞特异性核酸适配体筛选新策略的研究进展

核酸适配体(aptamer)是在体外采用指数富集的配基系统进化技术(systematic evolution of ligands by exponential enrichment, SELEX)从人工合成的随机寡核苷酸文库中筛选得到的一段寡核苷酸序列(RNA或DNA),能折叠成特定的三维空间结构同靶物质进行高特异性与高亲和性的结合。近年来,以全细胞为靶标筛选(cell-SELEX)获得的核酸适配体在疾病相关的领域有很大的应用潜力,尤其在细胞分子的识别、生物标志物的发现等方面,但cell-SELEX的过程复杂、难度大及获得的核酸适配体性能不佳等问题仍然制约着细胞特异性核酸适配体的进一步发展,如何高效地筛选获得核酸适配体是其应用的关键。本文总结了目前在cell-SELEX技术基础上发展起来的新方法、新策略及核酸适配体在肿瘤研究中的应用,望为相关科研人员的研究提供参考。     

Ligand Binding and Signaling of Dendritic Cell Immunoreceptor (DCIR) Is Modulated by the Glycosylation of the Carbohydrate Recognition Domain

C-type lectins are innate receptors expressed on antigen-presenting cells that are involved in the recognition of glycosylated pathogens and self-glycoproteins. Upon ligand binding, internalization and/or signaling often occur. Little is known on the glycan specificity and ligands of the Dendritic Cell Immunoreceptor (DCIR), the only classical C-type lectin that contains an intracellular immunoreceptor tyrosine-based inhibitory motif (ITIM). Here we show that purified DCIR binds the glycan structures Lewis^b and Man₃. Interestingly, binding could not be detected when DCIR was expressed on cells. Since DCIR has an N-glycosylation site inside its carbohydrate recognition domain (CRD), we investigated the effect of this glycan in ligand recognition. Removing or truncating the glycans present on purified DCIR increased the affinity for DCIR-binding glycans. Nevertheless, altering the glycosylation status of the DCIR expressing cell or mutating the N-glycosylation site of DCIR itself did not increase glycan binding. In contrast, cis and trans interactions with glycans induced DCIR mediated signaling, resulting in a decreased phosphorylation of the ITIM sequence. These results show that glycan binding to DCIR is influenced by the glycosylation of the CRD region in DCIR and that interaction with its ligands result in signaling via its ITIM motif.     

Structural optimization of an aptamer generated from Ligand-Guided Selection (LIGS) resulted in high affinity variant toward mIgM expressed on Burkitt's lymphoma cell lines

Aptamers are synthetic, short nucleic acid molecules capable of specific target recognition. Aptamers are selected using a screening method termed Systematic Evolution of Ligands by Exponential enrichment (SELEX). We recently have introduced a variant of SELEX called “Ligand-Guided-Selection” (LIGS) that allows the identification of specific aptamers against known cell-surface proteins. Utilizing LIGS, we introduced three specific aptamers against membrane-bound IgM (mIgM), which is the hallmark of B cells. Out of the three aptamers selected against mIgM, an aptamer termed R1, in particular, was found to be interesting due to its ability to recognize mIgM on target cells and then block anti-IgM antibodies binding their antigen. We systematically truncated parent aptamer R1 to design shorter variants with enhanced affinity. Importantly, herein we show that the specificity of the most optimized variant of R1 aptamer is similar to that of anti-IgM antibody, indicating that the specificity of the ligand utilized in selective elution of the aptamer determines the specificity of the LIGS-generated aptamer. Furthermore, we report that truncated variants of R1 are able to recognize mIgM-positive human B lymphoma BJAB cells at physiological temperature, demonstrating that LIGS-generated aptamers could be re-optimized into higher affinity variants. Collectively, these findings show the significance of LIGS in generating highly specific aptamers with potential applications in biomedicine.     

Tuning specificity and topology of lectins through synthetic biology

Lectins are non-immunoglobulin and non-catalytic glycan binding proteins that are able to decipher the structure and function of complex glycans. They are widely used as biomarkers for following alteration of glycosylation state in many diseases and have application in therapeutics. Controlling and extending lectin specificity and topology is the key for obtaining better tools. Furthermore, lectins and other glycan binding proteins can be combined with additional domains, providing novel functionalities. We provide a view on the current strategy with a focus on synthetic biology approaches yielding to novel specificity, but other novel architectures with novel application in biotechnology or therapy.     

The use of lectin microarray for assessing glycosylation of therapeutic proteins

Glycans or carbohydrates attached to therapeutic glycoproteins can directly affect product quality, safety and efficacy, and therefore must be adequately analyzed and controlled throughout product life cycles. However, the complexity of protein glycosylation poses a daunting analytical challenge. In this study, we evaluated the utility of a lectin microarray for assessing protein glycans. Using commercial lectin chips, which contain 45 lectins toward distinct glycan structures, we were able to determine the lectin binding patterns of a panel of 15 therapeutic proteins, including 8 monoclonal antibodies. Lectin binding signals were analyzed to generate glycan profiles that were generally consistent with the known glycan patterns for these glycoproteins. In particular, the lectin-based microarray was found to be highly sensitive to variations in the terminal carbohydrate structures such as galactose versus sialic acid epitopes. These data suggest that lectin microarray could be used for screening glycan patterns of therapeutic glycoproteins.     

Concept, strategy and realization of lectin-based glycan profiling

Lectins are a diverse group of carbohydrate-binding proteins. Each lectin has its own specificity profile. It is believed that lectins exist in all living organisms that produce glycans. From a practical viewpoint, lectins have been used extensively in biochemical fields including proteomics due to their usefulness as detection and enrichment tools for specific glycans. Nevertheless, they have often been underestimated as probes, especially compared with antibodies, because of their low affinity and broad specificity. However, together with the concept of glycomics, such properties of lectins are now considered to be suitable for the task of 'profiling' in order to cover a wider range of ligands. Recently there has been rapid movement in the field of proteomics aimed at the investigation of glycan-related biomarkers. This is partly because of limitations of the present approach of simply following changes in protein-level expression, without paying sufficient attention to the fact and effects of glycosylation. The trend is reflected in the frequent use of lectins in the contexts of glycoprotein enrichment and glycan profiling. However, there are many aspects to be considered in using lectins, which differ considerably from antibodies. In this article, the author, as a developer of two unique methodologies, frontal affinity chromatography (FAC) and the lectin microarray, describes critical points concerning the use of lectins, together with the concept, strategy and means to achieve advances in these emerging glycan profiling technologies.     

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Carbohydrate post-translational modifications on proteins are important determinants of protein function in both normal and disease biology. We have developed a method to allow the efficient, multiplexed study of glycans on individual proteins from complex mixtures, using antibody microarray capture of multiple proteins followed by detection with lectins or glycan-binding antibodies. Chemical derivatization of the glycans on the spotted antibodies prevented lectin binding to those glycans. Multiple lectins could be used as detection probes, each targeting different glycan groups, to build up lectin binding profiles of captured proteins. By profiling both protein and glycan variation in multiple samples using parallel sandwich and glycan-detection assays, we found cancer-associated glycan alteration on the proteins MUC1 and CEA in the serum of pancreatic cancer patients. Antibody arrays for glycan detection are highly effective for profiling variation in specific glycans on multiple proteins and should be useful in diverse areas of glycobiology research.     

N-linked glycosylation profiling of pancreatic cancer serum using capillary liquid phase separation coupled with mass spectrometric analysis

Glycoproteins play important roles in various biological processes including intracellular transport, cell recognition, and cell-cell interactions. The change of the cellular glycosylation profile may have profound effects on cellular homeostasis and malignancy. Therefore, we have developed a sensitive screening approach for the comprehensive analysis of N-glycans and glycosylation sites on human serum proteins. Using this approach, N-linked glycopeptides were extracted by double lectin affinity chromatography. The glycans were enzymatically cleaved from the peptides and then profiled using capillary hydrophilic interaction liquid chromatography coupled online with ESI-TOF MS. The structures of the separated glycans were determined by MALDI quadrupole ion-trap TOF mass spectrometry in both positive and negative modes. The glycosylation sites were elucidated by sequencing of PNGase F modified glycopeptides using nanoRP-LC-ESI-MS/MS. Alterations of glycosylation were analyzed by comparing oligosaccharide expression of serum glycoproteins at different disease stages. The efficiency of this method was demonstrated by the analysis of pancreatic cancer serum compared to normal serum. Ninety-two individual glycosylation sites and 202 glycan peaks with 105 unique carbohydrate structures were identified from approximately 25 mug glycopeptides. Forty-four oligosaccharides were found to be distinct in the pancreatic cancer serum. Increased branching of N-linked oligosaccharides and increased fucosylation and sialylation were observed in samples from patients with pancreatic cancer. The methodology described in this study may elucidate novel, cancer-specific oligosaccharides and glycosylation sites, some of which may have utility as useful biomarkers of cancer.     

A serum glycomics approach to breast cancer biomarkers

Because the glycosylation of proteins is known to change in tumor cells during the development of breast cancer, a glycomics approach is used here to find relevant biomarkers of breast cancer. These glycosylation changes are known to correlate with increasing tumor burden and poor prognosis. Current antibody-based immunochemical tests for cancer biomarkers of ovarian (CA125), breast (CA27.29 or CA15-3), pancreatic, gastric, colonic, and carcinoma (CA19-9) target highly glycosylated mucin proteins. However, these tests lack the specificity and sensitivity for use in early detection. This glycomics approach to find glycan biomarkers of breast cancer involves chemically cleaving oligosaccharides (glycans) from glycosylated proteins that are shed or secreted by breast cancer tumor cell lines. The resulting free glycan species are analyzed by MALDI-FT-ICR MS. Further structural analysis of the glycans can be performed in FTMS through the use of tandem mass spectrometry with infrared multiphoton dissociation. Glycan profiles were generated for each cell line and compared. These methods were then used to analyze sera obtained from a mouse model of breast cancer and a small number of serum samples obtained from human patients diagnosed with breast cancer or patients with no known history of breast cancer. In addition to the glycosylation changes detected in mice as mouse mammary tumors developed, glycosylation profiles were found to be sufficiently different to distinguish patients with cancer from those without. Although the small number of patient samples analyzed so far is inadequate to make any legitimate claims at this time, these promising but very preliminary results suggest that glycan profiles may contain distinct glycan biomarkers that may correspond to glycan "signatures of cancer."     

Exquisite specificity of mitogenic lectin from <Emphasis Type="Italic">Cephalosporium curvulum</Emphasis> to core fucosylated N-glycans

Lectins are carbohydrate binding proteins that are gaining attention as important tools for the identification of specific glycan markers expressed during different stages of the cancer. We earlier reported the purification of a mitogenic lectin from human pathogenic fungus Cephalosporium curvulum (CSL) that has complex sugar specificity when analysed by hapten inhibition assay. In the present study, we report the fine sugar specificity of CSL as determined by glycan array analysis. The results revealed that CSL has exquisite specificity towards core fucosylated N-glycans. Fucosylated trimannosyl core is the basic structure required for the binding of CSL. The presence of fucose in the side chain further enhances the avidity of CSL towards such glycans. The affinity of CSL is drastically reduced towards the non-core fucosylated glycans, in spite of their side chain fucosylation. CSL showed no binding to the tested O-glycans and monosaccharides. These observations suggest the unique specificity of CSL towards core fucosylated N-glycans, which was further validated by binding of CSL to human colon cancer epithelial and hepatocarcinoma cell lines namely HT29 and HepG2, respectively, that are known to express core fucosylated N-glycans, using AOL and LCA as positive controls. LCA and AOL are fucose specific lectins that are currently being used clinically for the diagnosis of hepatocellular carcinomas. Most of the gastrointestinal markers express core fucosylated N-glycans. The high affinity and exclusive specificity of CSL towards α1-6 linkage of core fucosylated glycans compared to other fucose specific lectins, makes it a promising molecule that needs to be further explored for its application in the diagnosis of gastrointestinal cancer.     

Lectin microarray profiling of metastatic breast cancers

Altered protein glycosylation compared with the disease-free state is a universal feature of cancer cells. It has long been established that distinct glycan structures are associated with specific forms of cancer, but far less is known about the complete array of glycans associated with certain tumors. The cancer glycome has great potential as a source of biomarkers, but progress in this field has been hindered by a lack of available techniques for the elucidation of disease-associated glycosylation. In the present study, lectin microarrays consisting of 45 lectins with different binding preferences covering N- and O-linked glycans were coupled with evanescent-field activated fluorescent detection in the glycomic analysis of primary breast tumors and the serum and urine of patients with metastatic breast cancer. A single 50 μm section of a primary breast tumor or <1 μL of breast cancer patient serum or urine was sufficient to detect glycosylation alterations associated with metastatic breast cancer, as inferred from lectin-binding patterns. The high-throughput, sensitive and relatively simple nature of the simultaneous analysis of N- and O-linked glycosylation following minimal sample preparation and without the need for protein deglycosylation makes the lectin microarray analysis described a valuable tool for discovery phase glycomic profiling.