A Novel Cell Fixation Method that Greatly Enhances Protein Identification in Microproteomic Studies Using Laser Capture Microdissection and Mass Spectrometry

Microproteomic studies have improved our knowledge of cell biology. Yet, with mass spectrometry (MS) analysis, accuracy can be lost for protein identification and quantification when using heterogeneous samples. Laser capture microdissection (LCM) allows for the enrichment of specific subsets of cells to study their proteome; however, sample fixation is necessary. Unfortunately, fixation hampers MS results due to protein cross‐linking. The aim of this study was to identify both a fixation protocol and an extraction method that returns the best yield of proteins for downstream MS analysis, while preserving cellular structures. We compared glutaraldehyde (GLU), a common fixative to preserve cells, to dithiobispropionimidate (DTBP), a cleavable cross‐linker. Our DTBP fixation/extraction protocol greatly increased the protein recovery. In fact, while 1000 GLU fixed cells returned only 159 unique protein hits, from 1464 unique peptides of 1994 unique collected spectra, 1000 DTBP fixed cells resulted in 567 unique collected protein hits, from 7542 unique peptides, of 10,401 unique collected spectra. That is, a 3.57‐fold increase in protein hits, 5.15‐fold increase in unique peptides, and a 5.22‐fold increase in unique collected spectra. Overall, the novel protocol introduced here allows for a very efficient protein recovery and good sample quality for MS after sample collection using LCM.     

Identification of Novel Targets for miR-29a Using miRNA Proteomics

MicroRNAs (miRNAs) are short regulatory RNA molecules that interfere with the expression of target mRNA by binding to complementary sequences. Currently, the most common method for identification of targets of miRNAs is computational prediction based on free energy change calculations, target site accessibility and conservation. Such algorithms predict hundreds of targets for each miRNA, necessitating tedious experimentation to identify the few functional targets. Here we explore the utility of miRNA-proteomics as an approach to identifying functional miRNA targets. We used Stable Isotope Labeling by amino acids in cell culture (SILAC) based proteomics to detect differences in protein expression induced by the over-expression of miR-34a and miR-29a. Over-expression of miR-29a, a miRNA expressed in the brain and in cells of the blood lineage, resulted in the differential expression of a set of proteins. Gene Ontology based classification showed that a significant sub-set of these targets, including Voltage Dependent Anion Channel 1 and 2 (VDAC1 and VDAC2) and ATP synthetase, were mitochondrial proteins involved in apoptosis. Using reporter assays, we established that miR-29a targets the 3' Untranslated Regions (3' UTR) of VDAC1 and VDAC2. However, due to the limited number of proteins identified using this approach and the inability to differentiate between primary and secondary effects we conclude that miRNA-proteomics is of limited utility as a high-throughput alternative for sensitive and unbiased miRNA target identification. However, this approach was valuable for rapid assessment of the impact of the miRNAs on the cellular proteome and its biological role in apoptosis.     

Identification of Early Intestinal Neoplasia Protein Biomarkers Using Laser Capture Microdissection and MALDI MS

Obtaining protein profiles from a homogeneous cell population in tissues can significantly improve our capability in protein biomarker discovery. In this study, unique protein profiles from the top and bottom sections of mouse crypts and Apc^Min+/− adenomas were obtained using laser capture microdissection (LCM) combined with MALDI MS. Statistically significant protein peaks with differential expression were selected, and a set of novel protein biomarkers were identified. Immunohistochemistry was performed to confirm the differentially expressed protein biomarkers found by LCM combined with MALDI MS. To validate the relevance of the findings in human colorectal cancer (CRC), S100A8 was further confirmed in human CRC using immunohistochemistry. In addition, S100A8 was found to have an increased expression at different human CRC stages (Duke''s A–D) compared with controls at both protein (n = 168 cases) and RNA (n = 215 cases) levels. Overall LCM combined with MALDI MS is a promising method to identify intestinal protein biomarkers from minute amounts of tissue. The novel protein biomarkers identified from the top and bottom crypts will increase our knowledge of the specific protein changes taking place during cell migration from the crypt bottom to top. In addition, the identified cancer protein biomarkers will aid in the exploration of colorectal tumorigenesis mechanisms as well as in the advancement of molecularly based diagnosis of colorectal cancer.Obtaining protein profiles from a pure cell population can significantly improve our capability in protein biomarker discovery. Laser capture microdissection (LCM)¹ is an important tool for acquisition of specific cells of interest from heterogeneous tissue sections (1,2). Obtaining protein profiles from laser-microdissected cells has been explored using multidimensional liquid chromatography-mass spectrometry or gel electrophoresis (3–5). However, usually ∼30,000 cells are required for these approaches (6–8). Direct analysis of laser-microdissected cells using MALDI MS is a sensitive, accurate, and high throughput technique to obtain protein profiles from limited numbers of cells (∼100 cells) (9–11). Combining LCM and MALDI MS is a promising tool for discovery of protein biomarkers from minute tissue structures.Individuals with advanced colorectal cancer (CRC) continue to have a poor prognosis despite recent improvements in treatment. As a result, early diagnosis and improved understanding of the pathogenesis of CRC are vital for improved clinical outcomes. Identification of early CRC protein markers has the potential to result in earlier diagnosis, more accurate prognosis, and improved treatment for individuals with CRC. Colorectal neoplasia is believed to arise from the colonic crypt (12,13). The colon is a self-renewing epithelium that consists of an actively dividing, relatively undifferentiated crypt base and a non-dividing, differentiated surface compartment (14–16). Small numbers of stem cells reside in the base of the crypt where daughter cells differentiate into absorptive cells, goblet cells, tuft cells, and endocrine cells. Absorptive cells and goblet cells, in particular, migrate to the luminal surface where they are eventually shed into the colonic lumen. Because the top and bottom crypts contain cells at different stages of differentiation, the protein profiles of these cells are likely to be different.Adenomatous polyps originate from crypts and represent important precursor lesions in the adenoma-carcinoma sequence (12). The Apc^Min+/− mouse model, and other similar models based on truncating mutations in Apc, have been widely used to study intestinal neoplasia. This model contains a germ line mutation in the adenomatous polyposis coli (Apc) gene (17), leading to numerous adenomas in the intestine (18). In humans, loss of APC is often an early event in the cascade of genetic mutations that lead to colorectal neoplasia (19). Approximately 80% of all sporadic human CRC have inactivating mutations in the APC gene (20). Similarly human familial adenomatous polyposis patients have germ line mutations in the APC gene, and loss of heterozygosity leads to the development of hundreds of adenomatous polyps in the colon and rectum. Thus, the Apc^Min+/− mouse is a promising mouse model for the discovery of potential early CRC markers using a proteomics approach.As a discovery study, we aimed to identify a set of proteomic profiles that can differentiate murine top and bottom crypts and Apc^Min+/− adenomas using LCM combined with MALDI MS. Specific protein biomarkers were identified using tandem mass spectrometry. Finally the relevance of the identified protein biomarkers was examined in human CRC at both protein and mRNA levels.     

SELDI-TOF-MS技术

该文介绍了SELDI-TOF-MS的原理、特点及在临床医学研究中的应用,展望了SELDI-TOF-MS技术的应用前景。     

Identification of Tsetse (Glossina spp.) Using Matrix-Assisted Laser Desorption/Ionisation Time of Flight Mass Spectrometry

Glossina (G.) spp. (Diptera: Glossinidae), known as tsetse flies, are vectors of African trypanosomes that cause sleeping sickness in humans and nagana in domestic livestock. Knowledge on tsetse distribution and accurate species identification help identify potential vector intervention sites. Morphological species identification of tsetse is challenging and sometimes not accurate. The matrix-assisted laser desorption/ionisation time of flight mass spectrometry (MALDI TOF MS) technique, already standardised for microbial identification, could become a standard method for tsetse fly diagnostics. Therefore, a unique spectra reference database was created for five lab-reared species of riverine-, savannah- and forest- type tsetse flies and incorporated with the commercial Biotyper 3.0 database. The standard formic acid/acetonitrile extraction of male and female whole insects and their body parts (head, thorax, abdomen, wings and legs) was used to obtain the flies'' proteins. The computed composite correlation index and cluster analysis revealed the suitability of any tsetse body part for a rapid taxonomical identification. Phyloproteomic analysis revealed that the peak patterns of G. brevipalpis differed greatly from the other tsetse. This outcome was comparable to previous theories that they might be considered as a sister group to other tsetse spp. Freshly extracted samples were found to be matched at the species level. However, sex differentiation proved to be less reliable. Similarly processed samples of the common house fly Musca domestica (Diptera: Muscidae; strain: Lei) did not yield any match with the tsetse reference database. The inclusion of additional strains of morphologically defined wild caught flies of known origin and the availability of large-scale mass spectrometry data could facilitate rapid tsetse species identification in the future.     

Laser Capture Microdissection of Neurons from Differentiated Human Neuroprogenitor Cells in Culture

Neuroprogenitor cells (NPCs) isolated from the human fetal brain were expanded under proliferative conditions in the presence of epidermal growth factor (EGF) and fibroblast growth factor (FGF) to provide an abundant supply of cells. NPCs were differentiated in the presence of a new combination of nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), dibutyryl cAMP (DBC) and retinoic acid on dishes coated with poly-L-lysine and mouse laminin to obtain neuron-rich cultures. NPCs were also differentiated in the absence of neurotrophins, DBC and retinoic acid and in the presence of ciliary neurotrophic factor (CNTF) to yield astrocyte-rich cultures. Differentiated NPCs were characterized by immunofluorescence staining for a panel of neuronal markers including NeuN, synapsin, acetylcholinesterase, synaptophysin and GAP43. Glial fibrillary acidic protein (GFAP) and STAT3, astrocyte markers, were detected in 10-15% of differentiated NPCs. To facilitate cell-type specific molecular characterization, laser capture microdissection was performed to isolate neurons cultured on polyethylene naphthalate (PEN) membrane slides. The methods described in this study provide valuable tools to advance our understanding of the molecular mechanism of neurodegeneration.     

应用蛋白质组学技术筛选胃癌耐药相关蛋白质

胃癌多药耐药性是临床胃癌化疗失败最主要的原因之一,但其分子机制仍然不太清楚.为了寻找新的胃癌耐药相关的蛋白质,揭示胃癌多药耐药的分子机制,以胃癌细胞SGC7901和长春新碱诱导的耐药胃癌细胞SGC7901/VCR为研究对象,应用二维凝胶电泳(two-dimensionalelectrophoresis,2-DE)技术分离两种细胞的总蛋白质,图像分析识别差异表达的蛋白质点,基质辅助激光解吸电离飞行时间质谱(matrix-assistedlaserdesorption/ionizationtimeofflightmassspectrometry,MALDI-TOF-MS)及电喷雾电离串联质谱(electrosprayionizationtandemmassspectrometry,ESI-Q-TOF)对差异表达的蛋白质点进行鉴定,蛋白质印迹和实时RT-PCR验证部分差异蛋白质在两株细胞中的表达水平,反义核酸转染技术分析HSP27(heatshockprotein27,HSP27)高表达与SGC7901/VCR耐药的相关性.得到了分辨率较高、重复性较好的两株细胞系的二维凝胶电泳图谱,质谱分析共鉴定了24个差异蛋白质点,蛋白质印迹和实时RT-PCR验证了部分差异蛋白的表达水平,反义寡核苷酸抑制HSP27表达能增加SGC7901/VCR对长春新碱的敏感性.研究结果不仅提示这些差异蛋白质如HSP27,Sorcin等可能与胃癌的多药耐药相关,而且为揭示胃癌细胞的多药耐药性产生机制提供了线索.     

Combined Fluorescent-Chromogenic In Situ Hybridization for Identification and Laser Microdissection of Interphase Chromosomes

Chromosome territories constitute the most conspicuous feature of nuclear architecture, and they exhibit non-random distribution patterns in the interphase nucleus. We observed that in cell nuclei from humans with Down Syndrome two chromosomes 21 frequently localize proximal to one another and distant from the third chromosome. To systematically investigate whether the proximally positioned chromosomes were always the same in all cells, we developed an approach consisting of sequential FISH and CISH combined with laser-microdissection of chromosomes from the interphase nucleus and followed by subsequent chromosome identification by microsatellite allele genotyping. This approach identified proximally positioned chromosomes from cultured cells, and the analysis showed that the identity of the chromosomes proximally positioned varies. However, the data suggest that there may be a tendency of the same chromosomes to be positioned close to each other in the interphase nucleus of trisomic cells. The protocol described here represents a powerful new method for genome analysis.     

Isolation of Expressed Sequences Encoded by the Human Xq Terminal Portion Using Microclone Probes Generated by Laser Microdissection

The genes that cause a variety of neurologic and neuromuscular disorders have been mapped to the distal region of Xq. In an effort to isolate genes from this area, a regional genomic library of the distal 30% of Xq was constructed from a single metaphase spread by means of laser microdissection and single unique primer-polymerase chain reaction. Using pooled probes of 1000 clones from the genomic library, human brain cDNA libraries were screened for expressed sequences encoded by this region. From the 250,000 cDNA clones screened so far, 10 nonoverlapping sequences that mapped back to the target portion were isolated. The complete nucleotide sequences of these cDNA clones have been determined. Analysis of the sequences indicates that none has significant similarity to previously characterized primate genes. One sequence mapping to Xq27.3-qter contained an open reading frame of 281 amino acids and was expressed in every tissue tested. This gene, as well as others isolated in this manner, may prove to be a candidate gene for heritable disorders mapping to this region.     

应用LCM和蛋白质组学技术筛选肺腺癌的差异表达蛋白质

为筛选肺腺癌(lung adenocarcinoma,AdC)发病相关蛋白质,首先采用激光捕获显微切割技术(laser capture microdissection,LCM)分别从AdC组织和正常支气管上皮(normal bronchial epithelium,NBE)组织中切割并收集AdC细胞和NBE细胞,再应用双向凝胶电泳技术(two-dimensional gel electrophoresis,2-DE)分离经LCM收集的细胞蛋白质,通过PDQuest软件分析差异表达的蛋白质点,基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)鉴定差异表达蛋白质,组织芯片免疫组化方法检测差异蛋白质膜联蛋白A4(annexin A4)在30例AdC组织、配对的癌旁组织和淋巴结转移癌组织中的表达水平。研究结果显示,通过蛋白质组学方法建立了LCM收集的AdC和NBE细胞的2-DE图谱,质谱鉴定得到了33个差异表达蛋白质,其中21个蛋白质在AdC细胞中表达上调,12个蛋白质在AdC细胞中表达下调。组织芯片免疫组化结果显示,与癌旁肺组织相比,annexin A4在AdC组织中的表达水平显著上调,且在AdC淋巴结转移癌组织中的表达明显高于其原发癌组织。上述结果提示annexin A4与AdC的发病及淋巴结转移相关,有望成为诊断AdC及预测AdC转移的分子标志物。     

Geographic Variation of Intrahepatic Cholangiocarcinoma,Extrahepatic Cholangiocarcinoma,and Hepatocellular Carcinoma in the United States

Background

Intrahepatic (ICC) and extrahepatic cholangiocarcinomas (ECC) are tumors that arise from cholangiocytes in the bile duct, but ICCs are coded as primary liver cancers while ECCs are coded as biliary tract cancers. The etiology of these tumors is not well understood. It has been suggested that the etiology of ICC is more similar to that of another type of liver cancer, hepatocellular carcinoma (HCC), than to the etiology of ECC. If this is true, geographic incidence patterns and trends in ICC incidence should be more similar to that of HCC than ECC.

Methods

To examine this hypothesis, data from the North American Association of Central Cancer Registries Cancer in North America data file were analyzed. Incidence rates and joinpoint trends were calculated by demographic subgroup. County-level incidence rates were mapped.

Results

Overall incidence rates, racial distribution, male:female ratio, and peak ages were more similar between ICC and ECC than with HCC. During 2000–2009, average annual incidence rates of ECC increased. During 2005–2009, average annual ICC incidence rates also increased. High rates for all three cancer sites were found in the Pacific region, particularly Hawaii and Alaska. Rates of ICC and ECC were also high in the Northeast and the upper Midwest, while rates of HCC were high in the South.

Conclusions

Demographic patterns and geographical variation were more closely related between ICC and ECC than HCC, suggesting that the etiology of ICC and ECC may be similar. Increasing rates of both tumors suggest that further etiology studies are warranted.     

Mass Spectrometry and Proteomics 2018: the Mass Spectrometry Society of Japan,Japanese Proteomics Society,and Asia-Oceania Human Proteome Organization

ABSTRACT

Introduction: The mass spectrometry society of Japan, Japanese proteomics society, and Asia–Oceania human proteome organization held the conference ‘Mass Spectrometry and Proteomics 2018’ in Osaka, Japan, on May 15–18, 2018. This international conference focused on cutting edge technologies and their applications in a variety of research fields such as agriculture, material science, environmental factors, and clinical applications. An overview of the conference and a summary of the major lectures are reported here.

Expert commentary: The meeting will facilitate the development of fundamental technologies and the multi-disciplinary applications of proteomics.     

Fast and Accurate Bacterial Species Identification in Urine Specimens Using LC-MS/MS Mass Spectrometry and Machine Learning*

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Highlights

• •Fast and culture-free method for the identification of the 15 bacterial species causing UTIs.
• •Combination of DIA analysis and machine learning algorithms to define a peptide signature.
• •High accuracy, good linearity and reproducibility, sensitivity below standard threshold.
• •Transferability to other laboratories and other mass spectrometers.

     

Identification of Natural CRISPR Systems and Targets in the Human Microbiome

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