Differential migration, LPS-induced cytokine, chemokine, and NO expression in immortalized BV-2 and HAPI cell lines and primary microglial cultures

Microglial cells are hematopoietically derived monocytes of the CNS and serve important neuromodulatory, neurotrophic, and neuroimmune roles. Following insult to the CNS, microglia develop a reactive phenotype, migrate to the site of injury, proliferate, and release a range of proinflammatory, anti-inflammatory, and neurotrophic factors. Isolation of primary microglial cell cultures has been an integral step in elucidating the many roles of these cells. In addition to primary microglial cells, several immortalized cell lines have been created to model primary microglia in vitro, including murine-derived BV-2 cells and rat derived highly aggressive proliferating immortalized (HAPI) cells. Here, we compare rat primary microglial, BV-2, and HAPI cells in experiments assessing migration, expression of activation markers, and production and release of nitric oxide, cytokines, and chemokines. BV-2 and HAPI cells responded similarly to primary microglia in experiments assessing migration, ionized calcium binding adaptor molecule 1 expression, and nitric oxide release. However, BV-2 and HAPI cells did not model primary microglia in experiments assessing tumor necrosis factor-alpha, interleukin-1beta, interleukin-6, and monocyte chemoattractant protein-1 expression and release and phospho-extracellular signal-regulated kinase 44/42 expression following lipopolysaccharide treatment. These results indicate that BV-2 and HAPI cell cultures only partially model primary microglia and that their use should therefore be carefully considered.     

In‐depth proteomic analysis of mouse microglia using a combination of FASP and StageTip‐based,high pH,reversed‐phase fractionation

Microglia are major immune cells in the central nervous system. A characterization of microglia proteome would facilitate on the study of microglial functions in association with various neurodegenerative diseases. To build a reference proteome, we established a BV‐2 microglial proteome to a depth of 5494 unique protein groups using a novel strategy that combined FASP, StageTip‐based high pH fractionation, and high‐resolution MS quickly and cost efficiently. By bioinformatics analysis, the BV‐2 proteome is a valuable resource for studies of microglial function, such as in the immune response, inflammatory response, and phagocytosis. All MS data have been deposited in the ProteomeXchange with identifier PXD000168.     

Improved Methodology for Sensitive and Rapid Quantitative Proteomic Analysis of Adult‐Derived Mouse Microglia: Application to a Novel In Vitro Mouse Microglial Cell Model

Microglia, as the resident brain immune cells, can exhibit a broad range of activation phenotypes, which have been implicated in a multitude of central nervous system disorders. Current widely studied microglial cell lines are mainly derived from neonatal rodent brain that can limit their relevance to homeostatic function and disease‐related neuroimmune responses in the adult brain. Recently, an adult mouse brain‐derived microglial cell line has been established; however, a comprehensive proteome dataset remains lacking. Here, an optimization method for sensitive and rapid quantitative proteomic analysis of microglia is described that involves suspension trapping (S‐Trap) for efficient and reproducible protein extraction from a limited number of microglial cells expected from an adult mouse brain (≈300 000). Using a 2‐h gradient on a 75‐cm UPLC column with a modified data dependent acquisition method on a hybrid quadrupole‐Orbitrap mass spectrometer, 4855 total proteins have been identified where 4698 of which are quantifiable by label‐free quantitation with a median and average coefficient of variation (CV) of 6.7% and 10.6%, respectively. This dataset highlights the high depth of proteome coverage and related quantitation precision of the adult‐derived microglial proteome including proteins associated with several key pathways related to immune response. Data are available via ProteomeXchange with identifier PXD012006.     

2HAPI: a microarray data analysis system

SUMMARY: 2HAPI (version 2 of High density Array Pattern Interpreter) is a web-based, publicly-available analytical tool designed to aid researchers in microarray data analysis. 2HAPI includes tools for searching, manipulating, visualizing, and clustering the large sets of data generated by microarray experiments. Other features include association of genes with NCBI information and linkage to external data resources. Unique to 2HAPI is the ability to retrieve upstream sequences of co-regulated genes for promoter analysis using MEME (Multiple Expectation-maximization for Motif Elicitation) AVAILABILITY: 2HAPI is freely available at http://array.sdsc.edu. Users can try 2HAPI anonymously with pre-loaded data or they can register as a 2HAPI user and upload their data.     

TNFα and IL-1β are mediated by both TLR4 and Nod1 pathways in the cultured HAPI cells stimulated by LPS

A growing body of evidence recently suggests that glial cell activation plays an important role in several neurodegenerative diseases and neuropathic pain. Microglia in the central nervous system express toll-like receptor 4 (TLR4) that is traditionally accepted as the primary receptor of lipopolysaccharide (LPS). LPS activates TLR4 signaling pathways to induce the production of proinflammatory molecules. In the present studies, we verified the LPS signaling pathways using cultured highly aggressively proliferating immortalized (HAPI) microglial cells. We found that HAPI cells treated with LPS upregulated the expression of TLR4, phospho-JNK (pJNK) and phospho-NF-κB (pNF-κB), TNFα and IL-1β. Silencing TLR4 with siRNA reduced the expression of pJNK, TNFα and IL-1β, but not pNF-κB in the cells. Inhibition of JNK with SP600125 (a JNK inhibitor) decreased the expression of TNFα and IL-1β. Unexpectedly, we found that inhibition of Nod1 with ML130 significantly reduced the expression of pNF-κB. Inhibition of NF-κB also reduced the expression of TNFα and IL-1β. Nod1 ligand, DAP induced the upregulation of pNF-κB which was blocked by Nod1 inhibitor. These data indicate that LPS-induced pJNK is TLR4-dependent, and that pNF-κB is Nod1-dependent in HAPI cells treated with LPS. Either TLR4-JNK or Nod1-NF-κB pathways is involved in the expression of TNFα and IL-1β.     

14-3-3ε marks the amyloid-stimulated microglia long-term activation

Microglia-mediated inflammation in the central nervous system is a hallmark of the pathogenesis of several neurodegenerative diseases including Alzheimer's disease. Microglial cells activation follows the deposition of amyloid β fibrils and it is generally considered a triggering factor in the early steps of the onset of Alzheimer's disease. Although the initial engagement of microglia seems to play a neuroprotective role, many lines of evidence indicate that a persistent activation with the production of proinflammatory molecules contributes to dismantle neuronal activity and to induce neuronal loss occurring in neurodegenerative diseases. To date, limited proteomic data are available on activated microglial cells in response to extracellular amyloidogenic peptides. In this study, murine microglial cells have been employed to investigate the effects of amyloid β peptides in triggering microglial activation. The response was monitored at the proteome level through a two-dimensional gel electrophoresis-based approach. Results show only a limited number of differentially expressed proteins, among these a more acidic species of the cytosolic actin, and the 14-3-3ε protein, found significantly upregulated in Aβ-activated cells. 14-3-3ε belongs to a regulatory protein family involved in important cellular processes, including those leading to neurodegenerative diseases, and thus its increased expression suggests a role of this protein in tuning microglia activation.     

Global analysis of the rat and human platelet proteome – the molecular blueprint for illustrating multi‐functional platelets and cross‐species function evolution

Emerging evidences indicate that blood platelets function in multiple biological processes including immune response, bone metastasis and liver regeneration in addition to their known roles in hemostasis and thrombosis. Global elucidation of platelet proteome will provide the molecular base of these platelet functions. Here, we set up a high‐throughput platform for maximum exploration of the rat/human platelet proteome using integrated proteomic technologies, and then applied to identify the largest number of the proteins expressed in both rat and human platelets. After stringent statistical filtration, a total of 837 unique proteins matched with at least two unique peptides were precisely identified, making it the first comprehensive protein database so far for rat platelets. Meanwhile, quantitative analyses of the thrombin‐stimulated platelets offered great insights into the biological functions of platelet proteins and therefore confirmed our global profiling data. A comparative proteomic analysis between rat and human platelets was also conducted, which revealed not only a significant similarity, but also an across‐species evolutionary link that the orthologous proteins representing “core proteome”, and the “evolutionary proteome” is actually a relatively static proteome.     

In-depth analysis of the human tear proteome

The tears, a critical body fluid of the surface of the eye, contain an unknown number of molecules including proteins/peptides, lipids, small molecule metabolites, and electrolytes. There have been continued efforts for exploring the human tear proteome to develop biomarkers of disease. In this study, we used the high speed TripleTOF 5600 system as the platform to analyze the human tear proteome from healthy subjects (3 females and 1 male, average age: 36±14). We have identified 1543 proteins in the tears with less than 1% false discovery rate, which represents the largest number of human tear proteins reported to date. The data set was analyzed for gene ontology (GO) and compared with the human plasma proteome, NEIBank lacrimal gland gene dataset and NEIBank cornea gene dataset. This comprehensive tear protein list may serve as a reference list of human tear proteome for biomarker research of ocular diseases or establishment of MRM (Multiple Reaction Monitoring) assays for targeted analysis. Tear fluid is a useful and an accessible source not only for evaluating ocular surface tissues (cornea and conjunctiva), inflammation, lacrimal gland function and a number of disease conditions, such as dry eye as well as response to treatment.     

ProteomeWeb: a web-based interface for the display and interrogation of proteomes

The analysis of proteomes, i.e., the proteins expressed by biological organisms under a given set of conditions at a given time, requires separating complex protein mixtures into discrete protein components, measuring their relative abundances, and identifying the individual protein components. Many types of data are generated during the course of proteome analysis, including graphic images of the protein profiles, flat files containing numeric data, spreadsheets for assimilating numeric data, and relational database tables for integrating data from multiple experiments. As part of a project to describe the proteomes of microbes of interest to the U.S. Department of Energy, a World-Wide Web-based interface has been developed for the display of protein profiles generated by two-dimensional gel electrophoresis. The web interface is capable of obtaining protein identifications on the fly, interrogating the quantitative data in the context of available genome sequence information, and relating the proteome data to existing metabolic pathway databases. Analysis of protein expression profiles is expedited, providing the capability to efficiently determine the gene locations for proteins modulated in abundance in response to different growth conditions and to locate the positions of the proteins within specific metabolic pathways. The proteome of the archaeon Methanococcus jannaschii, a microbe for which the complete genome sequence is available, is used to demonstrate the capabilities of this evolving web interface (http://proteomeweb.anl.gov).     

Large-scale identification of Caenorhabditis elegans proteins by multidimensional liquid chromatography-tandem mass spectrometry

A proteome of a model organism, Caenorhabditis elegans, was analyzed by an integrated liquid chromatography (LC)-based protein identification system, which was constructed by microscale two-dimensional liquid chromatography (2DLC) coupled with electrospray ionization (ESI) tandem mass spectrometry (MS/MS) on a high-resolution hybrid mass spectrometer with an automated data analysis system. Soluble and insoluble protein fractions were prepared from a mixed growth phase culture of the worm C. elegans, digested with trypsin, and fractionated separately on the 2DLC system. The separated peptides were directly analyzed by on-line ESI-MS/MS in a data-dependent mode, and the resultant spectral data were automatically processed to search a genome sequence database, wormpep 66, for protein identification. The total number of proteins of the composite proteome identified in this method was 1,616, including 110 secreted/targeted proteins and 242 transmembrane proteins. The codon adaptation indices of the identified proteins suggested that the system could identify proteins of relatively low abundance, which are difficult to identify by conventional 2D-gel electrophoresis (GE) followed by an offline mass spectrometric analysis such as peptide mass fingerprinting. Among the approximately 5,400 peptides assigned in this study, many peptides with post-translational modifications, such as N-terminal acetylation and phosphorylation, were detected. This expression profile of C. elegans, containing 571 hypothetical gene products, will serve as the basic data of a major proteome set expressed in the worm.     

Characterization of the Mycobacterium tuberculosis proteome by liquid chromatography mass spectrometry-based proteomics techniques: a comprehensive resource for tuberculosis research

Approximately, one-third of the world's population is infected with Mycobacterium tuberculosis, the causative agent of tuberculosis. Secreted and membrane proteins that interact with the host play important roles for the pathogenicity of the bacteria and are potential drug targets or components of vaccines. In this present study, subcellular fractionation in combination with membrane enrichment was used to comprehensively analyze the M. tuberculosis proteome. The proteome of the M. tuberculosis cell wall, membrane, cytosol, lysate, and culture filtrate was defined with a high coverage. Exceptional enrichment for membrane proteins was achieved using wheat germ agglutinin (WGA)-affinity two-phase partitioning, a technique that has to date not yet been exploited for the enrichment of mycobacterial membranes. Overall, 1051 M. tuberculosis protein groups including 183 transmembrane proteins have been identified by LC-MS/MS analysis using stringent database search criteria with a minimum of two peptides and an estimated FDR of less than 1%. With many mycobacterial antigens and lipoglycoproteins identified, the results from this study suggest that many of the newly discovered proteins could represent potential candidates mediating host-pathogen interactions. In addition, this data set provides experimental information about protein localization and thus serves as a valuable resource for M. tuberculosis proteome research.     

Shotgun proteomics of human bile in hilar cholangiocarcinoma

The need to find biomarkers for hepatobiliary diseases including cholangiocarcinoma (CCA) has led to an interest in using bile as a proximal fluid in biomarker discovery experiments, although there are inherent challenges both in its acquisition and analysis. The study described here greatly extends previous studies that have started to characterise the bile proteome. Bile from four patients with hilar CCA was depleted of albumin and immunoglobulin G and analysed by GeLC-MS/MS. The number of proteins identified per bile sample was between 378 and 741. Overall, the products of 813 unique genes were identified, considerably extending current knowledge of the malignant bile proteome. Of these, 268 were present in at least 3 out of 4 patients. This data set represents the largest catalogue of bile proteins to date and together with other studies in the literature constitutes an important prelude to the potential promise of expression proteomics and subsequent validation studies in CCA biomarker discovery.     

Transgenic, fluorescent Leishmania mexicana allow direct analysis of the proteome of intracellular amastigotes

Investigating the proteome of intracellular pathogens is often hampered by inadequate methodologies to purify the pathogen free of host cell material. This has also precluded direct proteome analysis of the intracellular, amastigote form of Leishmania spp., protozoan parasites that cause a spectrum of diseases that affect some 12 million patients worldwide. Here a method is presented that combines classic, isopycnic density centrifugation with fluorescent particle sorting for purification by exploiting transgenic, fluorescent parasites to allow direct proteome analysis of the purified organisms. By this approach the proteome of intracellular Leishmania mexicana amastigotes was compared with that of extracellular promastigotes that are transmitted by insect vectors. In total, 509 different proteins were identified by mass spectrometry and database search. This number corresponds to approximately 6% of gene products predicted from the reference genome of Leishmania major. Intracellular amastigotes synthesized significantly more proteins with basic pI and showed a greater abundance of enzymes of fatty acid catabolism, which may reflect their living in acidic habitats and metabolic adaptation to nutrient availability, respectively. Bioinformatics analyses of the genes corresponding to the protein data sets produced clear evidence for skewed codon usage and translational bias in these organisms. Moreover analysis of the subset of genes whose products were more abundant in amastigotes revealed characteristic sequence motifs in 3'-untranslated regions that have been linked to translational control elements. This suggests that proteome data sets may be used to identify regulatory elements in mRNAs. Last but not least, at 6% coverage the proteome identified all vaccine antigens tested to date. Thus, the present data set provides a valuable resource for selection of candidate vaccine antigens.     

The Escherichia coli proteome: past, present, and future prospects.

Proteomics has emerged as an indispensable methodology for large-scale protein analysis in functional genomics. The Escherichia coli proteome has been extensively studied and is well defined in terms of biochemical, biological, and biotechnological data. Even before the entire E. coli proteome was fully elucidated, the largest available data set had been integrated to decipher regulatory circuits and metabolic pathways, providing valuable insights into global cellular physiology and the development of metabolic and cellular engineering strategies. With the recent advent of advanced proteomic technologies, the E. coli proteome has been used for the validation of new technologies and methodologies such as sample prefractionation, protein enrichment, two-dimensional gel electrophoresis, protein detection, mass spectrometry (MS), combinatorial assays with n-dimensional chromatographies and MS, and image analysis software. These important technologies will not only provide a great amount of additional information on the E. coli proteome but also synergistically contribute to other proteomic studies. Here, we review the past development and current status of E. coli proteome research in terms of its biological, biotechnological, and methodological significance and suggest future prospects.     

Quantitative characterizations of proteome: dependence on the number of proteins considered

We consider the sensitivity of numerical characterizations of proteome on the number of proteins considered in the analysis. We examined data on proteomics maps belonging to the liver cells of mice subject to four proliferators. We varied the number of proteins considered for quantitative analysis from 25 up to 1000 proteins. For each case, we have compared the similarity/dissimilarity results when different number of proteins has been considered. We found that proteins maps based on a set of about 300 most abundant proteins spots suffice for satisfactory numerical characterization of corresponding proteome.     

Proteomics in radiation research: present status and future perspectives

Rapidly developing postgenome research has made proteins an attractive target for biological analysis. The well-established term of proteome is defined as the complete set of proteins expressed in a given cell, tissue or organism. Unlike the genome, a proteome is rapidly changing as it tends to adapt to microenvironmental signals. The systematic analysis of the proteome at a given time and state is referred to as proteomics. This technique provides information on the molecular and cellular mechanisms that regulate physiology and pathophysiology of the cell. Applications of proteome profiling in radiation research are increasing. However, the large-scale proteomics data sets generated need to be integrated into other fields of radiation biology to facilitate the interpretation of radiation-induced cellular and tissue effects. The aim of this review is to introduce the most recent developments in the field of radiation proteomics.