鼻咽癌组织的显微切割及其 RNA 线性扩增

从微小体积鼻咽癌活检标本中获取纯净癌细胞一直是鼻咽癌分子生物学研究中的难题 . 为了寻找一种能从鼻咽癌活检组织中获得高纯度、高质量 RNA 来完成 cDNA 微阵列 (cDNA Microarray) 实验的简便实用方法,采用 RNAlater 技术保存鼻咽癌活检组织,显微切割技术来获得高纯度鼻咽癌细胞,利用 RNA 线性扩增技术得到 cDNA 微阵列实验所需 RNA. 结果表明：利用 RNAlater 技术可以很好地保持组织 RNA 的稳定,通过优化显微切割和 RNA 线性扩增的条件获得了 cDNA 微阵列实验所需的高纯度、高质量 RNA.     

激光捕获显微切割技术在植物基因组研究中的应用

植物的生长和发育在很大程度上取决于组织和(或)器官特异表达的基因, 但要获取某一发育阶段的特异细胞类群来进行基因表达分析又是相当困难的。近年发展起来的激光捕获显微切割技术可以在显微镜下快速准确地获取单一的细胞类群, 甚至单个细胞, 成功地解决了组织中细胞的异质性问题。介绍了该技术的原理, 并对其在植物中的应用进展情况做了综述, 同时指出了该技术在植物中应用的可能发展方向。     

Synergistic Tissue Counterstaining and Image Segmentation Techniques for Accurate, Quantitative Immunohistochemistry

Quantitative analysis of digitized IHC-stained tissue sections is increasingly used in research studies and clinical practice. Accurate quantification of IHC staining, however, is often complicated by conventional tissue counterstains caused by the color convolution of the IHC chromogen and the counterstain. To overcome this issue, we implemented a new counterstain, Acid Blue 129, which provides homogeneous tissue background staining. Furthermore, we combined this counterstaining technique with a simple, robust, fully automated image segmentation algorithm, which takes advantage of the high degree of color separation between the 3-amino-9-ethyl-carbazole (AEC) chromogen and the Acid Blue 129 counterstain. Rigorous validation of the automated technique against manual segmentation data, using Ki-67 IHC sections from rat C6 glioma and β-amyloid IHC sections from transgenic mice with amyloid precursor protein (APP) mutations, has shown the automated method to produce highly accurate results compared with ground truth estimates based on the manually segmented images. The synergistic combination of the novel tissue counterstaining and image segmentation techniques described in this study will allow for accurate, reproducible, and efficient quantitative IHC studies for a wide range of antibodies and tissues. (J Histochem Cytochem 56:873–880, 2008)     

植物染色体微切割过程中细胞质DNA污染及其控制的研究

染色体微切割和微克隆已成为复杂基因组研究的有效途径,但是操作过程中的核外DNA的污染一直是令人担心的问题.通过研究植物染色体微切割(微分离)和微切割的染色体DNA 扩增过程中细胞质DNA的污染问题,表明目前常用的植物染色体微切割过程中,细胞质DNA的污染几乎难以避免,并提出了一个改进的降低细胞质DNA污染的方法,对如何控制细胞质DNA的污染进行了详细的讨论.     

染色体微切割、微克隆技术及其研究进展

本文综述了染色体显微切割与微克隆技术的原理、方法、应用及研究进展,尤其对几种染色体显微切割的方法、染色体的体外扩增技术ＤＯＰ－ＰＣＲ、ＬＡ－ＰＣＲ等进行了比较分析。对染色体微切割、微克隆技术研究中存在的问题和应用前景进行了初步探讨。     

Analysis of protein expression in cell microarrays: a tool for antibody-based proteomics.

Tissue microarray (TMA) technology provides a possibility to explore protein expression patterns in a multitude of normal and disease tissues in a high-throughput setting. Although TMAs have been used for analysis of tissue samples, robust methods for studying in vitro cultured cell lines and cell aspirates in a TMA format have been lacking. We have adopted a technique to homogeneously distribute cells in an agarose gel matrix, creating an artificial tissue. This enables simultaneous profiling of protein expression in suspension- and adherent-grown cell samples assembled in a microarray. In addition, the present study provides an optimized strategy for the basic laboratory steps to efficiently produce TMAs. Presented modifications resulted in an improved quality of specimens and a higher section yield compared with standard TMA production protocols. Sections from the generated cell TMAs were tested for immunohistochemical staining properties using 20 well-characterized antibodies. Comparison of immunoreactivity in cultured dispersed cells and corresponding cells in tissue samples showed congruent results for all tested antibodies. We conclude that a modified TMA technique, including cell samples, provides a valuable tool for high-throughput analysis of protein expression, and that this technique can be used for global approaches to explore the human proteome.     

激光微切割与定量PCR技术分析肾脏病理切片RNA

采用激光微切割与定量PCR技术,分析使用不同提取方法从不同固定方法固定的病理切片中提取的RNA.用70%乙醇、丙酮、甲醇、4%多聚甲醛固定肾脏冰冻切片,使用激光微切割技术切取肾小球,用硫氰酸胍方法(guanidinethiocyanatemethods,GTC)和Trizol试剂方法提取RNA,使用Taqman定量PCR方法分析比较各组RNA的量;选取丙酮固定的石蜡切片,使用激光微切割技术切取肾小球,采用RNA裂解液提取RNA,使用Taqman定量PCR方法,比较石蜡切片和冰冻切片中RNA含量.结果显示:提取沉淀性固定剂如乙醇、丙酮、甲醇固定的冰冻切片的RNA时,2种提取方法和3种固定方法对RNA含量的影响都无明显差异;但在提取4%多聚甲醛固定冰冻切片时,使用Trizol提取RNA含量明显高于使用GTC方法,且其含量与沉淀性固定剂固定的切片RNA含量无明显差异.石蜡切片中经激光微切割肾小球的RNA含量与冰冻切片经激光微切割肾小球的RNA含量无明显差异.结果提示:切片的固定方法和RNA的提取方法是影响切片RNA提取量的主要原因.     

Depicting the Spatial Distribution of Proteins in Human Tumor Tissue Combining SELDI and MALDI Imaging and Immunohistochemistry

Carcinoma tissue consists of not only tumor cells but also fibroblasts, endothelial cells or vascular structures, and inflammatory cells forming the supportive tumor stroma. Therefore, the spatial distribution of proteins that promote growth and proliferation in these complex functional units is of high interest. Matrix-assisted laser desorption/ionization imaging mass spectrometry is a newly developed technique that generates spatially resolved profiles of protein signals directly from thin tissue sections. Surface-enhanced laser desorption/ionization mass spectrometry (MS)combined with tissue microdissection allows analysis of defined parts of the tissue with a higher sensitivity and a broader mass range. Nevertheless, both MS-based techniques have a limited spatial resolution. IHC is a technique that allows a resolution down to the subcellular level. However, the detection and measurement of a specific protein expression level is possible only by semiquantitative methods. Moreover, prior knowledge about the identity of the proteins of interest is necessary. In this study, we combined all three techniques to gain highest spatial resolution, sensitivity, and quantitative information. We used frozen tissue from head and neck tumors and chose two exemplary proteins (HNP1–3 and S100A8) to highlight the advantages and disadvantages of each technique. It could be shown that the combination of these three techniques results in congruent but also synergetic data. (J Histochem Cytochem 58:929–937, 2010)     

结缔组织生长因子小干扰RNA的构建及其干扰效果检测

目的：构建结缔组织生长因子（CTGF）基因的小干扰RNA（siRNA）,并检测其对CTGF基因表达的干扰效果。方法：根据CTGF基因序列,设计2条合理的CTGF-siRNA,并将其克隆到siRNA载体pSliencer2．1-U6neo中,转化大肠杆菌DH5a,挑取阳性菌落进行酶切和测序鉴定;将构建成功的CTGF-siRNA重组质粒与带nJAG标签的CTGF表达载体共同转染人胚肾293T细胞,Western印迹检测siRNA的干扰效果。结果：构建了2个CTGFpsiRNA重组质粒,2条siRNA都有干扰作用,其中一条的干扰效果可达75％以上。结论：构建的CTGF-siRNA可为进一步研究CTGF的功能提供参考。     

Optimal molecular profiling of tissue and tissue components

Isolation of well-preserved pure cell populations is a prerequisite for sound studies of the molecular basis of any tissue-based biological phenomenon. This article reviews current methods for obtaining anatomically specific signals from molecules isolated from tissues, a basic requirement for productive linking of phenotype and genotype. The quality of samples isolated from tissue and used for molecular analysis is often glossed over or omitted from publications, making interpretation and replication of data difficult or impossible. Fortunately, recently developed techniques allow life scientists to better document and control the quality of samples used for a given assay, creating a foundation for improvement in this area. Tissue processing for molecular studies usually involves some or all of the following steps: tissue collection, gross dissection/identification, fixation, processing/embedding, storage/archiving, sectioning, staining, microdissection/annotation, and pure analyte labeling/identification and quantification. We provide a detailed comparison of some current tissue microdissection technologies, and provide detailed example protocols for tissue component handling upstream and downstream from microdissection. We also discuss some of the physical and chemical issues related to optimal tissue processing, and include methods specific to cytology specimens. We encourage each laboratory to use these as a starting point for optimization of their overall process of moving from collected tissue to high quality, appropriately anatomically tagged scientific results. In optimized protocols is a source of inefficiency in current life science research. Improvement in this area will significantly increase life science quality and productivity. The article is divided into introduction, materials, protocols, and notes sections. Because many protocols are covered in each of these sections, information relating to a single protocol is not contiguous. To get the greatest benefit from this article, readers are advised to read through the entire article first, identify protocols appropriate to their laboratory for each step in their workflow, and then reread entries in each section pertaining to each of these single protocols.     

人支气管上皮不典型增生与浸润癌组织的比较蛋白质组学研究

为筛选支气管上皮鳞状不典型增生进展的分子标志物,采用改良的脱氧胆酸-三氯醋酸(deoxycholate-trichloroaetic acid, DOC-TCA)法提纯支气管上皮总蛋白质进行双向电泳（two-dimensional electrophoresis,2-DE）,应用ImageMaster 2D分析软件、Student’s t-检验识别差异蛋白质点,基质辅助激光解吸电离飞行时间质谱（matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, MALDI-TOF-MS）得到相应的肽质指纹图（peptide mass fingerprint,PMF）,搜索数据库鉴定差异蛋白质.由此获得人支气管上皮不典型增生和浸润癌组织的2-DE图谱及其凝胶的平均蛋白质点数（1 273.00±43.31,1 326.00±66.63）,且两阶段间平均差异蛋白质点数为 56.00±8.96.取38个差异蛋白质点进行PMF分析,鉴定出一些与细胞生长、分化或肿瘤发生等有关的蛋白质,随即应用免疫组化检测差异蛋白质EGFR、c-Jun、Mdm2在两类组织中的表达,其结果也显示了类似的表达差异.支气管上皮不典型增生恶性转化过程中存在蛋白质的差异表达,这些差异蛋白质可能以不同的方式参与了癌变过程,且EGFR、c-Jun、Mdm2的免疫组化验证结果与质谱结果的一致性表明,比较蛋白质组学是一种筛选癌变相关分子标志物的可靠方法之一.     

Construction of linear functional expression elements with DNA and RNA hybrid primers: a flexible and fast method for proteomics

Two methods of constructing linear functional expression elements (LFEE) using hybrid DNA and RNA primers in DNA amplification for rapid gene expression are described. In both methods, it is not necessary to have additional transformation or bacterial propagation. The promoter, open reading frame (ORF) and terminator are amplified using Pfu or Taq DNA polymerase. Three elements containing DNA or RNA overhang are covalently ligated by T4 DNA ligase. The recombinant molecule is amplified with element-specific primers. The LFEE can be generated by both methods in a few hours and can be expressed in mammalian cells.     

Molecular Analysis of the Magnocellular Neuroendocrine Phenotype: from the Micropunch to Laser Microdissection

Microdissection of selected regions of central nervous system (CNS) has provided the basis of modern chemoarchitectonics. Laser microdissection is a modern variant of the “Palkovits punch” technique and used together with gene array analysis has revolutionalized CNS molecular analysis. Here we describe the use of such an approach to elucidate molecules selectively expressed in magnocellular neuroendocrine cells (MCNs) in the supraoptic nucleus (SON). We found 123 genes that are preferentially expressed in the SON, and of these, 89 were substantially osmoregulated in their expression. One of these, C1q domain containing 1, is a novel gene that is osmoregulated much more than even vasopressin itself.Special Issue Dedicated to Miklós Palkovits.     

Antigen Retrieval Immunohistochemistry: Review and Future Prospects in Research and Diagnosis over Two Decades

As a review for the 20th anniversary of publishing the antigen retrieval (AR) technique in this journal, the authors intend briefly to summarize developments in AR-immunohistochemistry (IHC)–based research and diagnostics, with particular emphasis on current challenges and future research directions. Over the past 20 years, the efforts of many different investigators have coalesced in extending the AR approach to all areas of anatomic pathology diagnosis and research and further have led to AR-based protein extraction techniques and tissue-based proteomics. As a result, formalin-fixed paraffin-embedded (FFPE) archival tissue collections are now seen as a literal treasure of materials for clinical and translational research to an extent unimaginable just two decades ago. Further research in AR-IHC is likely to focus on tissue proteomics, developing a more efficient protocol for protein extraction from FFPE tissue based on the AR principle, and combining the proteomics approach with AR-IHC to establish a practical, sophisticated platform for identifying and using biomarkers in personalized medicine.     

Production of Tissue Microarrays, Immunohistochemistry Staining and Digitalization Within the Human Protein Atlas

The tissue microarray (TMA) technology provides the means for high-throughput analysis of multiple tissues and cells. The technique is used within the Human Protein Atlas project for global analysis of protein expression patterns in normal human tissues, cancer and cell lines. Here we present the assembly of 1 mm cores, retrieved from microscopically selected representative tissues, into a single recipient TMA block. The number and size of cores in a TMA block can be varied from approximately forty 2 mm cores to hundreds of 0.6 mm cores. The advantage of using TMA technology is that large amount of data can rapidly be obtained using a single immunostaining protocol to avoid experimental variability. Importantly, only limited amount of scarce tissue is needed, which allows for the analysis of large patient cohorts ^{1 2}. Approximately 250 consecutive sections (4 μm thick) can be cut from a TMA block and used for immunohistochemical staining to determine specific protein expression patterns for 250 different antibodies. In the Human Protein Atlas project, antibodies are generated towards all human proteins and used to acquire corresponding protein profiles in both normal human tissues from 144 individuals and cancer tissues from 216 different patients, representing the 20 most common forms of human cancer. Immunohistochemically stained TMA sections on glass slides are scanned to create high-resolution images from which pathologists can interpret and annotate the outcome of immunohistochemistry. Images together with corresponding pathology-based annotation data are made publically available for the research community through the Human Protein Atlas portal (www.proteinatlas.org) (Figure 1) ^{3 4}. The Human Protein Atlas provides a map showing the distribution and relative abundance of proteins in the human body. The current version contains over 11 million images with protein expression data for 12.238 unique proteins, corresponding to more than 61% of all proteins encoded by the human genome.     

Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis

The prostate gland contains a heterogeneous milieu of stromal, epithelial, neuroendocrine and immune cell types. Healthy prostate is comprised of fibromuscular stroma surrounding discrete epithelial-lined secretory lumens and a very small population of immune and neuroendocrine cells. In contrast, areas of prostate cancer have increased dysplastic luminal epithelium with greatly reduced or absent stromal population. Given the profound difference between stromal and epithelial cell types, it is imperative to separate the cell types for any type of downstream molecular analysis. Despite this knowledge, the bulk of gene expression studies compare benign prostate to cancer without micro-dissection, leading to stromal bias in the benign samples. Laser-capture micro-dissection (LCM) is an effective method to physically separate different cell types from a specimen section. The goal of this protocol is to show that RNA can be successfully isolated from LCM-collected human prostatic epithelium and used for downstream gene expression studies such as RT-qPCR and RNAseq.     

Sixth Annual Meeting on Proteomic Sample Preparation,part of the second annual Getting Optimized Targets Summit

Atherosclerosis is a disease with higher levels of mortality in developed countries. Comprehension of the molecular mechanisms can yield very useful information in clinics for prevention, diagnosis and recovery monitoring. Proteomics represents an ideal methodology for this purpose, as proteins constitute the effectors of the different biological processes running during pathogenesis. To date, studies in atherosclerosis have been mainly focused on the search for plasma biomarkers. However, tissue proteomics allows going deeper into tissue secretomes, arterial layers or particular cells of interest, which, in turn, constitutes a more direct approximation to in vivo operating mechanisms. The aim of this review is to report latest advances in tissue proteomics in atherosclerosis and related diseases (e.g., aortic stenosis and ischemic injury).     

Expression Profiling with Oligonucleotide Arrays: Technologies and Applications for Neurobiology

DNA microarrays have been used in applications ranging from the assignment of gene function to analytical uses in prognostics. However, the detection sensitivity, cross hybridization, and reproducibility of these arrays can affect experimental design and data interpretation. Moreover, several technologies are available for fabrication of oligonucleotide microarrays. We review these technologies and performance attributes and, with data sets generated from human brain RNA, present statistical tools and methods to analyze data quality and to mine and visualize the data. Our data show high reproducibility and should allow an investigator to discern biological and regional variability from differential expression. Although we have used brain RNA as a model system to illustrate some of these points, the oligonucleotide arrays and methods employed in this study can be used with cell lines, tissue sections, blood, and other fluids. To further demonstrate this point, we provide data generated from total RNA sample sizes of 200 ng.     

Single-Cell Gene Expression Analysis: Implications for Neurodegenerative and Neuropsychiatric Disorders

Technical and experimental advances in microaspiration techniques, RNA amplification, quantitative real-time polymerase chain reaction (qPCR), and cDNA microarray analysis have led to an increase in the number of studies of single-cell gene expression. In particular, the central nervous system (CNS) is an ideal structure to apply single-cell gene expression paradigms. Unlike an organ that is composed of one principal cell type, the brain contains a constellation of neuronal and noneuronal populations of cells. A goal is to sample gene expression from similar cell types within a defined region without potential contamination by expression profiles of adjacent neuronal subpopulations and noneuronal cells. The unprecedented resolution afforded by single-cell RNA analysis in combination with cDNA microarrays and qPCR-based analyses allows for relative gene expression level comparisons across cell types under different experimental conditions and disease states. The ability to analyze single cells is an important distinction from global and regional assessments of mRNA expression and can be applied to optimally prepared tissues from animal models as well as postmortem human brain tissues. This focused review illustrates the potential power of single-cell gene expression studies within the CNS in relation to neurodegenerative and neuropsychiatric disorders such as Alzheimer's disease (AD) and schizophrenia, respectively.