N
Neeraj Sinha
Researcher at Utrecht University
Publications - 10
Citations - 220
Neeraj Sinha is an academic researcher from Utrecht University. The author has contributed to research in topics: Normal diet & Lipid metabolism. The author has an hindex of 5, co-authored 10 publications receiving 179 citations. Previous affiliations of Neeraj Sinha include Wageningen University and Research Centre & Loyola University Chicago.
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Journal ArticleDOI
Pathogenicity of Mycobacterium tuberculosis Is Expressed by Regulating Metabolic Thresholds of the Host Macrophage
Parul Mehrotra,Shilpa Jamwal,Najmuddin Mohd Saquib,Neeraj Sinha,Zaved Siddiqui,Venkatasamy Manivel,Samrat Chatterjee,Kanury V. S. Rao +7 more
TL;DR: Whereas the requirement for macrophage survival sensitized TB susceptibility to the glycemic status of the individual, mediation by pathogen ensured that the virulence properties of the infecting strain also contributed towards the resulting pathology.
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The Gene Expression Barcode 3.0: improved data processing and mining tools
Matthew N. McCall,Harris A. Jaffee,Susan Zelisko,Neeraj Sinha,Guido J. E. K. Hooiveld,Rafael A. Irizarry,Michael J. Zilliox +6 more
TL;DR: Improvements that have been made since the previous version of the Gene Expression Barcode in 2011 are presented, which include a variety of new data mining tools and summaries, estimated transcriptomes and curated annotations.
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A Comprehensive Inter-Tissue Crosstalk Analysis Underlying Progression and Control of Obesity and Diabetes
Pawan Samdani,Meet Singhal,Neeraj Sinha,Parul Tripathi,Sachin Sharma,Kamiya Tikoo,Kanury V. S. Rao,Dhiraj Kumar +7 more
TL;DR: A comprehensive network of inter-tissue crosstalk that emerges during progression of obesity leading to inflammation and insulin resistance is unraveled, which could be applied to understand systemic details of several chronic diseases.
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MATISSE: a method for improved single cell segmentation in imaging mass cytometry.
Matthijs J. D. Baars,Neeraj Sinha,Mojtaba Amini,Annelies Pieterman-Bos,Stephanie van Dam,Maroussia M. P. Ganpat,Miangela M. Lacle,Bas Oldenburg,Yvonne Vercoulen +8 more
TL;DR: The iMaging mAss cyTometry mIcroscopy Single cell SegmEntation (iMagingmAss CyTometry Single Cell Segm Entation) as discussed by the authors is a method that combines high-resolution fluorescence microscopy with the multiplex capability of IMC into a single workflow to achieve improved segmentation over the current state-of-theart.
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Extracting time-dependent obese-diabetic specific networks in hepatic proteome analysis.
Mukul Kumar Midha,Kamiya Tikoo,Neeraj Sinha,Simarjeet Kaur,H. N. Verma,Kanury V. S. Rao,Samrat Chatterjee,Venkatasamy Manivel +7 more
TL;DR: The liver proteome differentially expressed in a long-term high-fat and high-sucrose diet (HFHSD)-induced obesity and diabetes mouse model provides targets for future mechanistic and therapeutic studies in relation to development and prevention of obesity and Type 2 Diabetes.