Search Results - "Mukherjee, Shuvolina"

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    Multiple Reaction Monitoring-Based Targeted Assays for the Validation of Protein Biomarkers in Brain Tumors by Ghantasala, Saicharan, Pai, Medha Gayathri J, Biswas, Deeptarup, Gahoi, Nikita, Mukherjee, Shuvolina, Kp, Manubhai, Nissa, Mehar Un, Srivastava, Alisha, Epari, Sridhar, Shetty, Prakash, Moiyadi, Aliasgar, Srivastava, Sanjeeva

    Published in Frontiers in oncology (14-05-2021)
    “…The emergence of omics technologies over the last decade has helped in advancement of research and our understanding of complex diseases like brain cancers…”
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    Journal Article
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    A single nucleotide polymorphism associated with hepatitis C virus infections located in the distal region of the IL28B promoter influences NF-κB-mediated gene transcription by Chinnaswamy, Sreedhar, Chatterjee, Snehajyoti, Boopathi, Ramachandran, Mukherjee, Shuvolina, Bhattacharjee, Samsiddhi, Kundu, Tapas K

    Published in PloS one (08-10-2013)
    “…Persistence of hepatitis C virus (HCV) infection is observed only in a subset of infected individuals and among them only some respond to treatment…”
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    Journal Article
  4. 4

    Evaluation of autoantibody signatures in meningioma patients using human proteome arrays by Gupta, Shabarni, Mukherjee, Shuvolina, Syed, Parvez, Pandala, Narendra Goud, Choudhary, Saket, Singh, Vedita Anand, Singh, Namrata, Zhu, Heng, Epari, Sridhar, Noronha, Santosh B, Moiyadi, Aliasgar, Srivastava, Sanjeeva

    Published in Oncotarget (29-08-2017)
    “…Meningiomas are one of the most common tumors of the Central nervous system (CNS). This study aims to identify the autoantibody biomarkers in meningiomas using…”
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    Journal Article
  5. 5

    Comprehending the Proteomic Landscape of Ovarian Cancer: A Road to the Discovery of Disease Biomarkers by Mukherjee, Shuvolina, Sundfeldt, Karin, Borrebaeck, Carl A K, Jakobsson, Magnus E

    Published in Proteomes (25-05-2021)
    “…Despite recent technological advancements allowing the characterization of cancers at a molecular level along with biomarkers for cancer diagnosis, the…”
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  6. 6

    Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples by Verma, Ayushi, Kumar, Vipin, Ghantasala, Saicharan, Mukherjee, Shuvolina, Srivastava, Sanjeeva

    Published in Journal of visualized experiments (13-11-2021)
    “…Recent advances in mass spectrometry have resulted in deep proteomic analysis along with the generation of robust and reproducible datasets. However, despite…”
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  7. 7

    Comprehensive proteomic analysis reveals distinct functional modules associated with skull base and supratentorial meningiomas and perturbations in collagen pathway components by Mukherjee, Shuvolina, Biswas, Deeptarup, Epari, Sridhar, Shetty, Prakash, Moiyadi, Aliasgar, Ball, Graham Roy, Srivastava, Sanjeeva

    Published in Journal of proteomics (30-08-2021)
    “…Meningiomas are brain tumors that originate from the meninges and has been primarily classified into three grades by the current WHO guidelines. Although…”
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  8. 8

    Multipronged quantitative proteomic analyses indicate modulation of various signal transduction pathways in human meningiomas by Sharma, Samridhi, Ray, Sandipan, Mukherjee, Shuvolina, Moiyadi, Aliasgar, Sridhar, Epari, Srivastava, Sanjeeva

    Published in Proteomics (Weinheim) (01-01-2015)
    “…Meningiomas (MGs) are frequent tumors of the CNS originating from the meningeal layers of the spinal cord and the brain. In this study, comparative tissue…”
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  9. 9

    Protein microarray applications: Autoantibody detection and posttranslational modification by Atak, Apurva, Mukherjee, Shuvolina, Jain, Rekha, Gupta, Shabarni, Singh, Vedita Anand, Gahoi, Nikita, K. P., Manubhai, Srivastava, Sanjeeva

    Published in Proteomics (Weinheim) (01-10-2016)
    “…The discovery of DNA microarrays was a major milestone in genomics; however, it could not adequately predict the structure or dynamics of underlying protein…”
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    Journal Article
  10. 10

    Serum Profiling for Identification of Autoantibody Signatures in Diseases Using Protein Microarrays by Gupta, Shabarni, Manubhai, K P, Mukherjee, Shuvolina, Srivastava, Sanjeeva

    “…Protein microarrays are platforms for studying protein-protein interactions and identifying disease-related self-antigens/autoantigens, which elicit an immune…”
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    Journal Article
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