company

Partners

 

Animal models

 

 

Phenos GmbH

Contract research organisation offering services and research expertise to pharmaceutical companies and academia. PHENOS core expertise is the physiological and pathological analysis of mice and rat models. Using its long lasting experience in in-vivo models, Phenos provides its sophisticated expertise in three major areas:

  • Phenotypical analysis of genetic altered mice (e.g. knock-out animals)
  • Preclinical in-vivo evaluation of new drug compounds
  • Identification of new therapeutic strategies of approved drugs
  • Animal models for the study of kidney disease

 

Cell-Based Assay Services

 

 

Kitos biotech s.r.l.s.

Cell-Based Assay Services for Anticancer Drug Discovery Research.

The goal of Kitos is to assist customers in discovering innovative therapeutic products in an efficient, cost effective manner. ​Kitos has a well-equipped facility with cutting-edge technologies and a team of expert and dedicated scientists.

 

Antibody Specificity Assessment

 

 

Cambridge Protein Arrays Ltd.

Cambridge Protein arrays is a CRO offering analysis services based on complex human protein arrays. While the antibody arrays of Sciomics can be used to profile the content of proteins in a sample, recombinant protein arrays are especially useful for the interpretation of binding parameters of antibodies or auto-antibodies to a human proteins. Such arrays provide ultimate insights in the specificity of an antibody and information on eventual cross-binding events.

   

PEPperPRINT GmbH

Pepperprint offers standard and customized peptide microarrays with their proprietary LASER peptide printing technology which combines high spot densities with content flexibility, production speed and quality in a uniquely cost-effective manner. 
 

 

Recombinant antibodies

 

  
   

YUMAB GmbH

YUMAB provides tailored solutions for human antibody development and antibody engineering problems. YUMAB provides rapid, large-scale discovery and optimization of human monoclonal antibodies, custom libraries, antibody engineering (e.g., humanization, affinity maturation, various antibody product formats), and custom-made antibodies to difficult antigen targets. YUMAB offers fee-for-service solutions, and attractive and flexible licensing options for diagnostics and therapeutics. 

 

Instrumentation

 

 

DITABIS AG

DITABIS entwickelt und fertigt auf der Basis von OEM-Partnerschaften Medizingeräte, Laborgeräte oder Imagingsysteme für Anwendungen in den Bereichen Health Care, Life Science und In-Vitro-Diagnostik.

 

 

 

 

 Research projects

 

 

MCDS-Therapy (@MCDS-Therapy)

A Horizon 2020 funded 5-year clinical trial for the repurposing of carbamazepine for the treatment of metaphyseal chondrodysplasia, type Schmid.

> Read our press release

     

 

 

 

Networks

 

 

BIO Deutschland

As the sector association of the biotechnology industry, BIO Deutschland has set itself the objective of supporting and promoting the development of an innovative economic sector based on modern biosciences.

   

DECHEMA

DECHEMA is the expert network for chemical engineering and biotechnology in Germany. As a non-profit professional society we represent these fields in science, industry, politics and the general public. DECHEMA promotes scientific and technical exchange among experts from different disciplines, organisations and generations. We consolidate the know-how of over 5,800 individual and sustaining members.

 

BioRN

Over the past few years the Rhine-Neckar biotech region has developed into one of Germany’s strongest biotechnology clusters. The cluster is located within a radius of 30 km around the cities of Heidelberg, Mannheim, Darmstadt and Ludwigshafen. It is the most prominent and concentrated biotech cluster in Germany in the fields of personalized medicine and cancer research.

 

Technologiepark Heidelberg

Heidelberg Technology Park is a science park where major research institutes and global corporations work side by side. The synergies are manifold so that what emerges is a science-based society in which science finds scope for experimentation in industry and scientific research gains new perspectives as a result of international cooperation.

 

BioLAGO e.V.

BioLAGO is the cross-border health network for life sciences in the four-country-region of Lake Constance (Germany, Switzerland, Austria and Liechtenstein). The network links industry with science for innovations; it promotes knowledge transfer and the foundation of new firms.

 

Network Lab-on-a-Chip Technologies

Lab-on-a-Chip approaches (short: LoaC) are the combination and integration of several analytical steps of classical and new laboratory analysis on a glass, silicium or plastic chip. The goal is to achiev a high degree of automation as well as the parallelization of many analytical steps (keyword " High Content Screening").

The network focuses on innovative products, production processes and services primarily in the fields of

  • Point-of-care diagnostics systems / Biomarker development
  • Replacement of animal experiments by "organ-on-a-chip" approaches
  • cell analysis / microbiology
  • chip manufacturing

 

Click on the image below to download our company brochure with information on Sciomics GmbH, antibody microarrays and potential applications of this technology.

 

 


Typical results for a highly parallel protein analyses with antibody microarrays

 

Protein profiling plays an essential part in today’s biomedical research, striving to improve patients’ quality of life by using molecular signatures for diagnosis and treatment guidance. 

At Sciomics, we believe that our explorative proteomic and post-translational modification profiling platform enables true progress in precision medicine. Therefore, our internal development pipeline of innovative biomarker signatures for precision medicine is based on this powerful platform. 

In addition, we offer services based on our scioDiscover profiling platform and R&D collaborations for the discovery and validation of novel biomarkers,  for drug target screening, the characterization of disease models, and for the analysis of pathway activity as well as mode-of-action analyses.  What sets us apart is our team of scientific experts that takes pride in custom-tailoring every project and consulting clients throughout the project. Our full service ranges from discussing  experimental designs to in-depth data  analysis and a comprehensive study report. Fast and cost-efficient, Sciomics‘ powerful high-content, high-throughput antibody array platform delivers reliable results that can be easily translated into validation or clinical assays, thereby generating value and opening new avenues for biomarker discovery as well as preclinical drug discovery & development programs.

 

Please find below selected scientific articles on the antibody microarray platform or its application in biomedical studies for a protein profiling published in peer-reviewed journals. The articles were either published by our customers or by the founders and employees of Sciomics.

 

Selected scientific articles by our customers and partners

   

  • Awwad, M.H.S., Mahmoud, A., Bruns, H., Echchannaoui, H., Kriegsmann, K., Lutz, R., Raab, M.S., Bertsch, U., Munder, M., Jauch, A., Weisel, K., Maier, B., Weinhold, N., Salwender, H.J., Eckstein, V., Hänel, M., Fenk, R., Dürig, J., Brors, B., Benner, A., Müller-Tidow, C., Goldschmidt, H., Hundemer, M., 2021.
    Selective elimination of immunosuppressive T cells in patients with multiple myeloma.
    Leukemia 1–14. https://doi.org/10.1038/s41375-021-01172-x
  • Kowtharapu, B.S., Damaraju, J., Singh, N.K., Ziebart, J., Bader, R., Koczan, D., Stachs, O., 2021.
    Analysis of the Differential Gene and Protein Expression Profiles of Corneal Epithelial Cells Stimulated with Alternating Current Electric Fields.
    Genes 12, 299. https://doi.org/10.3390/genes12020299
  • Lange, C., Weber, A.M., Schmidt, R., Schroeder, C., Strowitzki, T., Germeyer, A., 2021.
    Changes in protein expression due to metformin treatment and hyperinsulinemia in a human endometrial cancer cell line.
    PLOS ONE 16, e0248103. https://doi.org/10.1371/journal.pone.0248103
  • Boberg, E., Kadri, N., Winterling, J., Davies, L.C., Björklund, A., Msghina, M., Iacobaeus, E., Le Blanc, K., 2020.
    Mental fatigue after allogeneic hematopoietic stem cell transplantation is associated with cognitive dysfunction, but not central nervous system inflammation.
    Haematologica 105, e310–e314. https://doi.org/10.3324/haematol.2019.225326
  • Fernando, R., Wardelmann, K., Deubel, S., Kehm, R., Jung, T., Mariotti, M., Vasilaki, A., Gladyshev, V.N., Kleinridders, A., Grune, T., Castro, J.P., 2020.
    Low steady-state oxidative stress inhibits adipogenesis by altering mitochondrial dynamics and decreasing cellular respiration.
    Redox Biology 32, 101507. https://doi.org/10.1016/j.redox.2020.101507
  • Fiorentino, F.P., Marchesi, I., Schröder, C., Schmidt, R., Yokota, J., Bagella, L., 2020.
    BET-Inhibitor I-BET762 and PARP-Inhibitor Talazoparib Synergy in Small Cell Lung Cancer Cells.
    Int J Mol Sci 21. https://doi.org/10.3390/ijms21249595
  • Yin, Y., Shelke, G.V., Lässer, C., Brismar, H., Lötvall, J., 2020.
    Extracellular vesicles from mast cells induce mesenchymal transition in airway epithelial cells.
    Respiratory Research 21, 101. https://doi.org/10.1186/s12931-020-01346-8
  • Fultang, L., Gamble, L.D., Gneo, L., Berry, A.M., Egan, S.A., De Bie, F., Yogev, O., Eden, G.L., Booth, S., Brownhill, S., Vardon, A., McConville, C.M., Cheng, P.N., Norris, M.D., Etchevers, H.C., Murray, J., Ziegler, D.S., Chesler, L., Schmidt, R., Burchill, S.A., Haber, M., De Santo, C., Mussai, F., 2019.
    Macrophage-Derived IL1β and TNFα Regulate Arginine Metabolism in Neuroblastoma.
    Cancer Res 79, 611–624. https://doi.org/10.1158/0008-5472.CAN-18-2139
  • Reichman, H., Itan, M., Rozenberg, P., Yarmolovski, T., Brazowski, E., Varol, C., Gluck, N., Shapira, S., Arber, N., Qimron, U., Karo-Atar, D., Lee, J.J., Munitz, A., 2019.
    Activated Eosinophils Exert Antitumorigenic Activities in Colorectal Cancer.
    Cancer Immunol Res 7, 388–400. https://doi.org/10.1158/2326-6066.CIR-18-0494
  • Kowtharapu, B.S., Murín, R., Jünemann, A.G.M., Stachs, O., 2018.
    Role of Corneal Stromal Cells on Epithelial Cell Function during Wound Healing.
    International Journal of Molecular Sciences 19, 464. https://doi.org/10.3390/ijms19020464
  • Peiro, J.L., Oria, M., Aydin, E., Joshi, R., Cabanas, N., Schmidt, R., Schroeder, C., Marotta, M., Varisco, B.M., 2018.
    Proteomic profiling of tracheal fluid in an ovine model of congenital diaphragmatic hernia and fetal tracheal occlusion.
    Am J Physiol Lung Cell Mol Physiol 315, L1028–L1041. https://doi.org/10.1152/ajplung.00148.2018
  • Thorenz, A., Derlin, K., Schröder, C., Dressler, L., Vijayan, V., Pradhan, P., Immenschuh, S., Jörns, A., Echtermeyer, F., Herzog, C., Chen, R., Rong, S., Bräsen, J.H., Kooten, C. van, Kirsch, T., Klemann, C., Meier, M., Klos, A., Haller, H., Hensen, B., Gueler, F., 2018.
    Enhanced activation of interleukin-10, heme oxygenase-1, and AKT in C5aR2-deficient mice is associated with protection from ischemia reperfusion injury–induced inflammation and fibrosis.
    Kidney International 94, 741–755. https://doi.org/10.1016/j.kint.2018.04.005
  • Hamidi, Z., Tejero, E., Schmidt, R., Tucker, R., Pedro, A., 2017.
    Identification of potential blood-derived extracellular vesicles biomarkers to diagnose and predict distant metastases in ER+ breast cancer patients.
    bioRxiv 202291. https://doi.org/10.1101/202291
  • Sass, F.A., Schmidt‐Bleek, K., Ellinghaus, A., Filter, S., Rose, A., Preininger, B., Reinke, S., Geissler, S., Volk, H.-D., Duda, G.N., Dienelt, A., 2017.
    CD31+ Cells From Peripheral Blood Facilitate Bone Regeneration in Biologically Impaired Conditions Through Combined Effects on Immunomodulation and Angiogenesis.
    Journal of Bone and Mineral Research 32, 902–912. https://doi.org/10.1002/jbmr.3062
  • Bakdash, G., Buschow, S.I., Gorris, M.A.J., Halilovic, A., Hato, S.V., Sköld, A.E., Schreibelt, G., Sittig, S.P., Torensma, R., Duiveman-de Boer, T., Schröder, C., Smits, E.L., Figdor, C.G., de Vries, I.J.M., 2016.
    Expansion of a BDCA1+CD14+ Myeloid Cell Population in Melanoma Patients May Attenuate the Efficacy of Dendritic Cell Vaccines.
    Cancer Res 76, 4332–4346. https://doi.org/10.1158/0008-5472.CAN-15-1695

 

Selected scientific articles by our founders and employees

  • Lange, C., Weber, A.M., Schmidt, R., Schroeder, C., Strowitzki, T., Germeyer, A., 2021.
    Changes in protein expression due to metformin treatment and hyperinsulinemia in a human endometrial cancer cell line.
    PLOS ONE 16, e0248103. https://doi.org/10.1371/journal.pone.0248103
  • Fiorentino, F.P., Marchesi, I., Schröder, C., Schmidt, R., Yokota, J., Bagella, L., 2020.
    BET-Inhibitor I-BET762 and PARP-Inhibitor Talazoparib Synergy in Small Cell Lung Cancer Cells.
    International Journal of Molecular Sciences 21, 9595. https://doi.org/10.3390/ijms21249595
  • Fultang, L., Gamble, L.D., Gneo, L., Berry, A.M., Egan, S.A., Bie, F.D., Yogev, O., Eden, G.L., Booth, S., Brownhill, S., Vardon, A., McConville, C.M., Cheng, P.N., Norris, M.D., Etchevers, H.C., Murray, J., Ziegler, D.S., Chesler, L., Schmidt, R., Burchill, S.A., Haber, M., Santo, C.D., Mussai, F., 2019.
    Macrophage-Derived IL1β and TNFα Regulate Arginine Metabolism in Neuroblastoma.
    Cancer Res 79, 611–624. https://doi.org/10.1158/0008-5472.CAN-18-2139
  • Thorenz, A., Derlin, K., Schröder, C., Dressler, L., Vijayan, V., Pradhan, P., Immenschuh, S., Jörns, A., Echtermeyer, F., Herzog, C., Chen, R., Rong, S., Bräsen, J.H., Kooten, C. van, Kirsch, T., Klemann, C., Meier, M., Klos, A., Haller, H., Hensen, B., Gueler, F., 2018.
    Enhanced activation of interleukin-10, heme oxygenase-1, and AKT in C5aR2-deficient mice is associated with protection from ischemia reperfusion injury–induced inflammation and fibrosis.
    Kidney International 94, 741–755. https://doi.org/10.1016/j.kint.2018.04.005
  • Peiro, J.L., Oria, M., Aydin, E., Joshi, R., Cabanas, N., Schmidt, R., Schroeder, C., Marotta, M., Varisco, B.M., 2018.
    Proteomic profiling of tracheal fluid in an ovine model of congenital diaphragmatic hernia and fetal tracheal occlusion.
    American Journal of Physiology-Lung Cellular and Molecular Physiology 315, L1028–L1041. https://doi.org/10.1152/ajplung.00148.2018
  • Bakdash, G., Buschow, S.I., Gorris, M.A.J., Halilovic, A., Hato, S.V., Sköld, A.E., Schreibelt, G., Sittig, S.P., Torensma, R., Boer, T.D., Schröder, C., Smits, E.L., Figdor, C.G., Vries, I.J.M. de, 2016.
    Expansion of a BDCA1+CD14+ Myeloid Cell Population in Melanoma Patients May Attenuate the Efficacy of Dendritic Cell Vaccines.
    Cancer Res 76, 4332–4346. https://doi.org/10.1158/0008-5472.CAN-15-1695
  • Kibat, J., Schirrmann, T., Knape, M.J., Helmsing, S., Meier, D., Hust, M., Schröder, C., Bertinetti, D., Winter, G., Pardes, K., Funk, M., Vala, A., Giese, N., Herberg, F.W., Dübel, S., Hoheisel, J.D., 2016.
    Utilisation of antibody microarrays for the selection of specific and informative antibodies from recombinant library binders of unknown quality.
    N Biotechnol 33, 574–581. https://doi.org/10.1016/j.nbt.2015.12.003
  • Betzen, C., Alhamdani, M.S.S., Lueong, S., Schröder, C., Stang, A., Hoheisel, J.D., 2015.
    Clinical proteomics: Promises, challenges and limitations of affinity arrays.
    PROTEOMICS – Clinical Applications 9, 342–347. https://doi.org/10.1002/prca.201400156
  • Nijaguna, M.B., Schröder, C., Patil, V., Shwetha, S.D., Hegde, A.S., Chandramouli, B.A., Arivazhagan, A., Santosh, V., Hoheisel, J.D., Somasundaram, K., 2015.
    Definition of a serum marker panel for glioblastoma discrimination and identification of Interleukin 1β in the microglial secretome as a novel mediator of endothelial cell survival induced by C-reactive protein.
    Journal of Proteomics 128, 251–261. https://doi.org/10.1016/j.jprot.2015.07.026
  • Srinivasan, H., Allory, Y., Sill, M., Vordos, D., Alhamdani, M.S.S., Radvanyi, F., Hoheisel, J.D., Schröder, C., 2014.
    Prediction of recurrence of non muscle-invasive bladder cancer by means of a protein signature identified by antibody microarray analyses.
    PROTEOMICS 14, 1333–1342. https://doi.org/10.1002/pmic.201300320
  • Hoheisel, J.D., Alhamdani, M.S.S., Schröder, C., 2013.
    Affinity-based microarrays for proteomic analysis of cancer tissues.
    PROTEOMICS – Clinical Applications 7, 8–15. https://doi.org/10.1002/prca.201200114
  • Schröder, C., Srinivasan, H., Sill, M., Linseisen, J., Fellenberg, K., Becker, N., Nieters, A., Hoheisel, J.D., 2013.
    Plasma protein analysis of patients with different B-cell lymphomas using high-content antibody microarrays.
    PROTEOMICS – Clinical Applications 7, 802–812. https://doi.org/10.1002/prca.201300048
  • Alhamdani, M.S.S., Youns, M., Buchholz, M., Gress, T.M., Beckers, M.-C., Maréchal, D., Bauer, A., Schröder, C., Hoheisel, J.D., 2012.
    Immunoassay-based proteome profiling of 24 pancreatic cancer cell lines.
    Journal of Proteomics, 3747–3759. https://doi.org/10.1016/j.jprot.2012.04.042
  • Alhamdani, M.S.S., Schröder, C., Hoheisel, J.D., 2010.
    Analysis conditions for proteomic profiling of mammalian tissue and cell extracts with antibody microarrays.
    PROTEOMICS 10, 3203–3207. https://doi.org/10.1002/pmic.201000170
  • Alhamdani, M.S.S., Schröder, C., Werner, J., Giese, N., Bauer, A., Hoheisel, J.D., 2010.
    Single-Step Procedure for the Isolation of Proteins at Near-Native Conditions from Mammalian Tissue for Proteomic Analysis on Antibody Microarrays.
    J. Proteome Res. 9, 963–971. https://doi.org/10.1021/pr900844q
  • Schröder, C., Jacob, A., Tonack, S., Radon, T.P., Sill, M., Zucknick, M., Rüffer, S., Costello, E., Neoptolemos, J.P., Crnogorac-Jurcevic, T., Bauer, A., Fellenberg, K., Hoheisel, J.D., 2010.
    Dual-color Proteomic Profiling of Complex Samples with a Microarray of 810 Cancer-related Antibodies.
    Molecular & Cellular Proteomics 9, 1271–1280. https://doi.org/10.1074/mcp.M900419-MCP200
  • Sill, M., Schröder, C., Hoheisel, J.D., Benner, A., Zucknick, M., 2010.
    Assessment and optimisation of normalisation methods for dual-colour antibody microarrays.
    BMC Bioinformatics 11, 556. https://doi.org/10.1186/1471-2105-11-556
  • Kusnezow, W., Banzon, V., Schröder, C., Schaal, R., Hoheisel, J.D., Rüffer, S., Luft, P., Duschl, A., Syagailo, Y.V., 2007.
    Antibody microarray-based profiling of complex specimens: systematic evaluation of labeling strategies.
    PROTEOMICS 7, 1786–1799. https://doi.org/10.1002/pmic.200600762

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