List of Publications

Aditya M. Bhagwat

Ordered by date

  1. Serum proteomics hint at an early T-cell response and modulation of SARS-CoV-2-related pathogenic pathways in COVID-19-ARDS treated with Ruxolitinib.
    Völkel, S., Tarawneh, T.S., Sacher, L., Bhagwat, A.M., Karim, I., Mack, H.I.D., Wiesmann, T., Beutel, B., Hoyer, J., Keller, C., Renz, H., Burchert, A., Neubauer, A., Graumann, J., Skevaki, C., and Mack, E.K.M.
    Frontiers in Medicine
    2023. 10
    DOI: NA

  2. Arachidonic acid, a clinically adverse mediator in the ovarian cancer microenvironment, impairs JAK-STAT signaling in macrophages by perturbing lipid raft structures.
    Hammoud, M.K., Dietze, R., Pesek, J., Finkernagel, F., Unger, A., Bieringer, T., Nist, A., Stiewe, T., Bhagwat, A.M., Nockher, W.A., Reinartz, S., Müller-Brüsselbach, S., Graumann, J., and Müller, R.
    Molecular Oncology
    2022. 16(17), 3146-3166
    DOI: 10.1002/1878-0261.13221

  3. Transcriptional drug repositioning and cheminformatics approach for differentiation therapy of leukaemia cells.
    KalantarMotamedi, Y., Ejeian, F., Sabouhi, F., Bahmani, L., Nejati, A.S., Bhagwat, A.M., Ahadi, A.M., Tafreshi, A.P., Nasr-Esfahani, M.H., and Bender, A.
    Scientific Reports
    2021. 11(1), 12537
    DOI: 10.1038/s41598-021-91629-x

  4. SIRT1 promotes lipid metabolism and mitochondrial biogenesis in adipocytes and coordinates adipogenesis by targeting key enzymatic pathways.
    Majeed, Y., Halabi, N., Madani, A.Y., Engelke, R., Bhagwat, A.M., Abdesselem, H., Agha, M.V., Vakayil, M., Courjaret, R., Goswami, N., Hamidane, H.B., Elrayess, M.A., Rafii, A., Graumann, J., Schmidt, F., and Mazloum, N.A.
    Scientific Reports
    2021. 11(1), 8177
    DOI: 10.1038/s41598-021-87759-x

  5. multicrispr: gRNA design for prime editing and parallel targeting of thousands of targets.
    Bhagwat, A.M., Graumann, J., Wiegandt, R., Bentsen, M., Welker, J., Kuenne, C., Preussner, J., Braun, T., and Looso, M.
    Life Science Alliance
    2020. 3(11), e202000757
    DOI: 10.26508/lsa.202000757

  6. Stimulation of glycolysis promotes cardiomyocyte proliferation after injury in adult zebrafish.
    Fukuda, R., Marín-Juez, R., El-Sammak, H., Beisaw, A., Ramadass, R., Kuenne, C., Guenther, S., Konzer, A., Bhagwat, A.M., Graumann, J., and Stainier, D.Y.
    EMBO reports
    2020. 21(8), e49752
    DOI: 10.15252/embr.201949752

  7. Metabolic Signatures of Tumor Responses to Doxorubicin Elucidated by Metabolic Profiling in Ovo.
    Achkar, I.W., Kader, S., Dib, S.S., Junejo, K., Al-Bader, S.B., Hayat, S., Bhagwat, A.M., Rousset, X., Wang, Y., Viallet, J., Suhre, K., and Halama, A.
    Metabolites
    2020. 10(7), 268
    DOI: 10.3390/metabo10070268

  8. Effect of induced hypoglycemia on inflammation and oxidative stress in type 2 diabetes and control subjects.
    Kahal, H., Halama, A., Aburima, A., Bhagwat, A.M., Butler, A.E., Grauman, J., Suhre, K., Sathyapalan, T., and Atkin, S.L.
    Scientific Reports
    2020. 10(1), 1-8
    DOI: 10.1038/s41598-020-61531-z

  9. A Systems-level Characterization of the Differentiation of Human Embryonic Stem Cells into Mesenchymal Stem Cells.
    Billing, A.M., Dib, S.S., Bhagwat, A.M., Silva, I.T.d., Drummond, R.D., Hayat, S., Al-Mismar, R., Ben-Hamidane, H., Goswami, N., Engholm-Keller, K., Larsen, M.R., Suhre, K., Rafii, A., and Graumann, J.
    Molecular & Cellular Proteomics
    2019. 18(10), 1950-1966
    DOI: 10.1074/mcp.RA119.001356

  10. Metabolic and proteomic signatures of hypoglycaemia in type 2 diabetes.
    Halama, A., Kahal, H., Bhagwat, A.M., Zierer, J., Sathyapalan, T., Graumann, J., Suhre, K., and Atkin, S.L.
    Diabetes, Obesity and Metabolism
    2019. 21(4), 909-919
    DOI: 10.1111/dom.13602

  11. Myh10 deficiency leads to defective extracellular matrix remodeling and pulmonary disease.
    Kim, H., Yin, W., Jin, Y., Panza, P., Gunawan, F., Grohmann, B., Buettner, C., Sokol, A.M., Preussner, J., Guenther, S., Kostin, S., Ruppert, C., Bhagwat, A.M., Ma, X., Graumann, J., Looso, M., Guenther, A., Adelstein, R.S., Offermanns, S., and Stainier, D.Y.R.
    Nature Communications
    2018. 9(1), 4600
    DOI: 10.1038/s41467-018-06833-7

  12. Accelerated lipid catabolism and autophagy are cancer survival mechanisms under inhibited glutaminolysis.
    Halama, A., Kulinski, M., Dib, S.S., Zaghlool, S.B., Siveen, K.S., Iskandarani, A., Zierer, J., Prabhu, K.S., Satheesh, N.J., Bhagwat, A.M., Uddin, S., Kastenmüller, G., Elemento, O., Gross, S.S., and Suhre, K.
    Cancer Letters
    2018. 430, 133-147
    DOI: 10.1016/j.canlet.2018.05.017

  13. A comprehensive metabolomic data set of date palm fruit.
    Stephan, N., Halama, A., Mathew, S., Hayat, S., Bhagwat, A., Mathew, L.S., Diboun, I., Malek, J., and Suhre, K.
    Data in Brief
    2018. 18, 1313-1321
    DOI: 10.1016/j.dib.2018.04.012

  14. Proteomic profiling of human cancer pseudopodia for the identification of anti-metastatic drug candidates.
    Choi, S., Bhagwat, A.M., Al Mismar, R., Goswami, N., Ben Hamidane, H., Sun, L., and Graumann, J.
    Scientific Reports
    2018. 8(1), 5858
    DOI: 10.1038/s41598-018-24256-8

  15. Connecting genetic risk to disease end points through the human blood plasma proteome.
    Suhre, K., Arnold, M., Bhagwat, A.M., Cotton, R.J., Engelke, R., Raffler, J., Sarwath, H., Thareja, G., Wahl, A., DeLisle, R.K., Gold, L., Pezer, M., Lauc, G., Selim, M.A.E., Mook-Kanamori, D.O., Al-Dous, E.K., Mohamoud, Y.A., Malek, J., Strauch, K., Grallert, H., Peters, A., Kastenmüller, G., Gieger, C., and Graumann, J.
    Nature Communications
    2017. 8, 14357
    DOI: 10.1038/ncomms14357

  16. Complementarity of SOMAscan to LC-MS/MS and RNA-seq for quantitative profiling of human embryonic and mesenchymal stem cells.
    Billing, A.M., Ben Hamidane, H., Bhagwat, A.M., Cotton, R.J., Dib, S.S., Kumar, P., Hayat, S., Goswami, N., Suhre, K., Rafii, A., and Graumann, J.
    Journal of Proteomics
    2017. 150, 86-97
    DOI: 10.1016/j.jprot.2016.08.023

  17. Comprehensive transcriptomic and proteomic characterization of human mesenchymal stem cells reveals source specific cellular markers.
    Billing, A.M., Ben Hamidane, H., Dib, S.S., Cotton, R.J., Bhagwat, A.M., Kumar, P., Hayat, S., Yousri, N.A., Goswami, N., Suhre, K., Rafii, A., and Graumann, J.
    Scientific Reports
    2016. 6, 21507
    DOI: 10.1038/srep21507

  18. Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project.
    Verbist, B., Klambauer, G., Vervoort, L., Talloen, W., Shkedy, Z., Thas, O., Bender, A., Göhlmann, H.W.H., and Hochreiter, S.
    Drug Discovery Today
    2015. 20(5), 505-513
    DOI: 10.1016/j.drudis.2014.12.014

  19. Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis.
    Ravindranath, A.C., Perualila-Tan, N., Kasim, A., Drakakis, G., Liggi, S., Brewerton, S.C., Mason, D., Bodkin, M.J., Evans, D.A., Bhagwat, A., Talloen, W., Göhlmann, H.W.H., Consortium, Q., Shkedy, Z., and Bender, A.
    Molecular BioSystems
    2014. 11(1), 86-96
    DOI: 10.1039/C4MB00328D

  20. Prediction of ruminal volatile fatty acid proportions of lactating dairy cows based on milk odd- and branched-chain fatty acid profiles: New models, better predictions.
    Bhagwat, A.M., De Baets, B., Steen, A., Vlaeminck, B., and Fievez, V.
    Journal of Dairy Science
    2012. 95(7), 3926-3937
    DOI: 10.3168/jds.2011-4850

  21. Relationships between odd- and branched-chain fatty acid profiles in milk and calculated enteric methane proportion for lactating dairy cattle.
    Montoya, J.C., Bhagwat, A.M., Peiren, N., De Campeneere, S., De Baets, B., and Fievez, V.
    Animal Feed Science and Technology
    2011. 166-167, 596-602
    DOI: 10.1016/j.anifeedsci.2011.04.080

  22. Kinetic modeling of a bi-enzymatic system for efficient conversion of lactose to lactobionic acid.
    Van Hecke, W., Bhagwat, A., Ludwig, R., Dewulf, J., Haltrich, D., and Van Langenhove, H.
    Biotechnology and Bioengineering
    2009. 102(5), 1475-1482
    DOI: 10.1002/bit.22165