Characterization and use of monoclonal antibodies against bilitranslocase and its determination in clear cell renal cell carcinoma

With its worldwide incidence of about 300 000 new cases per year, clear cell Renal Cell Carcinoma (ccRCC) is the seventh most commonly diagnosed cancer in men and the ninth most commonly diagnosed cancer in women. At the hereditary and molecular levels recent research efforts describe large molecular profiling analyses for the molecular cause to be related with the development of ccRCC. Historically, von Hippel-Lindau (VHL) tumor suppressor protein located on chromosome 3p25, the loss of activity of which leads to a syndrome connected with diseases including ccRCC, was among the top genetic causes known. Monoclonal antibodies are an important tool in diagnostics and research, especially when we are dealing with a protein marker of unknown primary structure as in case of bilitranslocase (BTL). BTL is expressed on kidney cells, where it acts as an organic anion transporter. We have shown that there are differences in bilitranslocase expression in normal kidney cells versus early grade kidney cancer. A set of hybridoma cell lines producing antipeptide monoclonal antibodies against segments 235-246 (peptide B) and 298-310 (peptide C) of predicted primary structure of bilitranslocase was cloned by limiting dilution. With a sequence of immune tests we characterized monoclonal antibodies, and used them as a tool to distinguish between grades in progression of ccRCC. We developed monoclonal antibodies against extra- (peptide B) and intra-cellular (peptide C) domains of bilitranslocase protein model. Our results are showing that these antibodies can be used in different immunoassays. Furthermore specificity and affinity of our mAbs allowed us to assess progressive grades of clear cell renal cell carcinoma and thus introduce a potentially novel tool for the diagnostics of ccRCC

Glioma proteomics: status and perspectives.

peer reviewedHigh grade gliomas are the most common brain tumors in adults and their malignant nature makes them the fourth biggest cause of cancer death. Major efforts in neuro-oncology research are needed to reach similar progress in treatment efficacy as that achieved for other cancers in recent years. In addition to the urgent need to identify novel effective drug targets against malignant gliomas, the search for glioma biomarkers and grade specific protein signatures will provide a much needed contribution to diagnosis, prognosis, treatment decision and assessment of treatment response. Over the past years glioma proteomics has been attempted at different levels, including proteome analysis of patient biopsies and bodily fluids, of glioma cell lines and animal models. Here we provide an extensive review of the outcome of these studies in terms of protein identifications (protein numbers and regulated proteins), with an emphasis on the methods used and the limitations of the studies with regard to biomarker discovery. This is followed by a perspective on novel technologies and on the potential future contribution of proteomics in a broad sense to understanding glioma biology

Proteomics strategies for target identification and biomarker discovery in cancer.

peer reviewedThe revolution in genomics and proteomics has produced complex technologies enabling an insight into the functional effectors of cellular processes. In oncology these technologies lead to the identification of biological markers which may provide the starting point for the development and identification of diagnostic tests and therapeutic targets. To identify and validate reliable tumor markers within the proteome, it is necessary, prior to tandem mass spectrometry, to reduce sample complexity. This can be done by robust fractionation and separation techniques. This review addresses the discovery stage of onco-proteomics - the strategies for target identification and biomarker discovery in solid tumors and biofluids. The overview includes different proteomic methods, from gel-based to liquid chromatography (LC)-based separations of proteins/peptides, and the corresponding detection by mass spectrometry. The quantitative methods in mass spectrometry include techniques based on stable isotope labeling of proteins/peptides and label-free methods. A particular emphasis is given to proteomics-based biomarker discovery in biofluids (e.g. plasma, urine, secretome, cerebrospinal fluid) and target identification in tissue for anti-angiogenic therapies

Targeting Malignant Brain Tumors with Antibodies

Antibodies have been shown to be a potent therapeutic tool. However, their use for targeting brain diseases, including neurodegenerative diseases and brain cancers, has been limited, particularly because the blood–brain barrier (BBB) makes brain tissue hard to access by conventional antibody-targeting strategies. In this review, we summarize new antibody therapeutic approaches to target brain tumors, especially malignant gliomas, as well as their potential drawbacks. Many different brain delivery platforms for antibodies have been studied such as liposomes, nanoparticle-based systems, cell-penetrating peptides (CPPs), and cell-based approaches. We have already shown the successful delivery of single-chain fragment variable (scFv) with CPP as a linker between two variable domains in the brain. Antibodies normally face poor penetration through the BBB, with some variants sufficiently passing the barrier on their own. A “Trojan horse” method allows passage of biomolecules, such as antibodies, through the BBB by receptor-mediated transcytosis (RMT). Such examples of therapeutic antibodies are the bispecific antibodies where one binding specificity recognizes and binds a BBB receptor, enabling RMT and where a second binding specificity recognizes an antigen as a therapeutic target. On the other hand, cell-based systems such as stem cells (SCs) are a promising delivery system because of their tumor tropism and ability to cross the BBB. Genetically engineered SCs can be used in gene therapy, where they express anti-tumor drugs, including antibodies. Different types and sources of SCs have been studied for the delivery of therapeutics to the brain; both mesenchymal stem cells (MSCs) and neural stem cells (NSCs) show great potential. Following the success in treatment of leukemias and lymphomas, the adoptive T-cell therapies, especially the chimeric antigen receptor-T cells (CAR-Ts), are making their way into glioma treatment as another type of cell-based therapy using the antibody to bind to the specific target(s). Finally, the current clinical trials are reviewed, showing the most recent progress of attractive approaches to deliver therapeutic antibodies across the BBB aiming at the specific antigen

Cell therapies for glioblastoma.

peer reviewedMalignant gliomas, including the most devastating type, glioblastoma multiforme (GBM), are characterised by their local growth and aggressive infiltration of the normal brain. GBMs result in a profound disability, leading to death in almost all cases. There has been little improvement in outcome despite intensive clinical and laboratory research during recent decades. Interestingly, many researchers have been successful in treating GBM models in animals, but the success has been limited when new treatment principles have been translated into the clinic. One reason for this failure is the lack of appropriate animal models that reflect the behaviour of human GBMs. Therapeutic progress has also been hindered by the limited delivery of effective therapeutic compounds to an extremely heterogenic tumour cell population. This article discusses the present use and limitations of preclinical animal models to study glioma growth and progression. In addition, it focuses on the potential use of cell-based therapies for the treatment of GBMs. This includes aspects of gene therapy, stem cell therapy and immunotherapy. Several of these treatment modalities use the principle of transplanting cells or compounds that either directly or indirectly show therapeutic efficacy. Many of these principles depend on an increased biological knowledge of gliomas. The development of new therapeutic principles based on such knowledge may finally provide glioma patients with an improved survival

Colorectal cancer derived organotypic spheroids maintain essential tissue characteristics but adapt their metabolism in culture

Background: Organotypic tumor spheroids, a 3D in vitro model derived from patient tumor material, preserve tissue heterogeneity and retain structural tissue elements, thus replicating the in vivo tumor more closely than commonly used 2D and 3D cell line models. Such structures harbour tumorigenic cells, as revealed by xenograft implantation studies in animal models and maintain the genetic makeup of the original tumor material. The aim of our work was a morphological and proteomic characterization of organotypic spheroids derived from colorectal cancer tissue in order to get insight into their composition and associated biology. Results: Morphological analysis showed that spheroids were of about 250 μm in size and varied in structure, while the spheroid cells differed in shape and size and were tightly packed together by desmosomes and tight junctions. Our proteomic data revealed significant alterations in protein expression in organotypic tumor spheroids cultured as primary explants compared to primary colorectal cancer tissue. Components underlying cellular and tissue architecture were changed; nuclear DNA/ chromatin maintenance systems were up-regulated, whereas various mitochondrial components were down-regulated in spheroids. Most interestingly, the mesenchymal cells appear to be substantial component in such cellular assemblies. Thus the observed changes may partly occur in this cellular compartment. Finally, in the proteomics analysis stem cell-like characteristics were observed within the spheroid cellular assembly, reflected by accumulation of Alcam, Ctnnb1, Aldh1, Gpx2, and CD166. These findings were underlined by IHC analysis of Ctnnb1, CD24 and CD44, therefore warranting closer investigation of the tumorigenic compartment in this 3D culture model for tumor tissue. Conclusions: Our analysis of organotypic CRC tumor spheroids has identified biological processes associated with a mixture of cell types and states, including protein markers for mesenchymal and stem-like cells. This 3D tumor model in which tumor heterogeneity is preserved may represent an advantageous model system to investigate novel therapeutic approaches

Flavonoid Interaction with a Chitinase from Grape Berry Skin: Protein Identification and Modulation of the Enzymatic Activity

In the present study, an antibody raised against a peptide sequence of rat bilitranslocase (anti-peptide Ab) was tested on microsomal proteins obtained from red grape berry skin. Previously, this antibody had demonstrated to recognize plant membrane proteins associated with flavonoid binding and transport. Immuno-proteomic assays identified a number of proteins reacting with this particular antibody, suggesting that the flavonoid binding and interaction may be extended not only to carriers of these molecules, but also to enzymes with very different functions. One of these proteins is a pathogenesis-related (PR) class IV chitinase, whose in vitro chitinolytic activity was modulated by two of the most representative flavonoids of grape, quercetin and catechin, as assessed by both spectrophotometric and fluorimetric assays in grape microsomes and commercial enzyme preparations. The effect of these flavonoids on the catalysis and its kinetic parameters was also evaluated, evidencing that they determine a hormetic dose-dependent response. These results highlight the importance of flavonoids not only as antioxidants or antimicrobial effectors, but also as modulators of plant growth and stress response. Implications of the present suggestion are here discussed in the light of environment and pesticide-reduction concerns

Gene set based integrated data analysis reveals phenotypic differences in a brain cancer model.

A key challenge in the data analysis of biological high-throughput experiments is to handle the often low number of samples in the experiments compared to the number of biomolecules that are simultaneously measured. Combining experimental data using independent technologies to illuminate the same biological trends, as well as complementing each other in a larger perspective, is one natural way to overcome this challenge. In this work we investigated if integrating proteomics and transcriptomics data from a brain cancer animal model using gene set based analysis methodology, could enhance the biological interpretation of the data relative to more traditional analysis of the two datasets individually. The brain cancer model used is based on serial passaging of transplanted human brain tumor material (glioblastoma--GBM) through several generations in rats. These serial transplantations lead over time to genotypic and phenotypic changes in the tumors and represent a medically relevant model with a rare access to samples and where consequent analyses of individual datasets have revealed relatively few significant findings on their own. We found that the integrated analysis both performed better in terms of significance measure of its findings compared to individual analyses, as well as providing independent verification of the individual results. Thus a better context for overall biological interpretation of the data can be achieved

Involvement of mammalian bilitranslocase-like protein(s) in chlorophyll catabolism of Pisum sativum L. tissues

Putative pea bilin and cyclic tetrapyrrole transporter proteins were identified by means of an antibody raised against a bilirubin-interacting aminoacidic sequence of mammalian bilitranslocase (TC No. 2.A.65.1.1). The immunochemical approach showed the presence of several proteins mostly in leaf microsomal, chloroplast and tonoplast vesicles. In these membrane fractions, electrogenic bromosulfalein transport activity was also monitored, being specifically inhibited by anti-bilitranslocase sequence antibody. Moreover, the inhibition of transport activity in pea leaf chloroplast vesicles, by both the synthetic cyclic tetrapyrrole chlorophyllin and the heme catabolite biliverdin, supports the involvement of some of these proteins in the transport of linear/cyclic tetrapyrroles during chlorophyll metabolism. Immunochemical localization in chloroplast sub-compartments revealed that these putative bilitranslocase-like transporters are restricted to the thylakoids only, suggesting their preferential implication in the uptake of cyclic tetrapyrrolic intermediates from the stroma during chlorophyll biosynthesis. Finally, the presence of a conserved bilin-binding sequence in different proteins (enzymes and transporters) from divergent species is discussed in an evolutionary context. \ua9 2014 Springer Science+Business Media New York