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ACS Earth & Space Chemistry
|
October 28, 2022
Compositional Constraints are Vital for Atmospheric PM<sub>2.5</sub> Source Attribution over India
Sidhant J Pai, Colette L Heald, Hugh Coe, et al.
Nature
|
June 26, 2024
Structural mechanism of bridge RNA-guided recombination
Masahiro Hiraizumi, Nicholas T Perry, Matthew G Durrant, et al.
Journal of Immunology (Baltimore, Md. : 1950)
|
November 29, 2023
IL-17A Orchestrates Reactive Oxygen Species/HIF1α-Mediated Metabolic Reprogramming in Psoriasis
Bhavuk Dhamija, Soumitra Marathe, Vinanti Sawant, et al.
Advances in Experimental Medicine and Biology
|
June 28, 2023
Proteomic Investigation of COVID-19 Severity During the Tsunamic Second Wave in Mumbai
Sakshi Rajoria, Divya Nair, Kruthi Suvarna, et al.
Science (New York, N.Y.)
|
September 25, 2025
Megabase-scale human genome rearrangement with programmable bridge recombinases
Nicholas T Perry, Liam J Bartie, Dhruva Katrekar, et al.
BMC Genomics
|
November 4, 2024
Microprotein-encoding RNA regulation in cells treated with pro-inflammatory and pro-fibrotic stimuli
Victor J Pai, Calvin J Lau, Almudena Garcia-Ruiz, et al.
Iscience
|
February 9, 2021
Proteomic investigation reveals dominant alterations of neutrophil degranulation and mRNA translation pathways in patients with COVID-19
Renuka Bankar, Kruthi Suvarna, Saicharan Ghantasala, et al.
Frontiers in Physiology
|
May 17, 2021
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential
Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J Pai, et al.
Statistics in Medicine
|
March 9, 2010
Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables
Stephen Burgess, Simon G Thompson, , et al.
European Journal of Epidemiology
|
September 19, 2007
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases
, J Danesh, S Erqou, et al.
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Search research articles
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Showing results (91-100 of 100) with videos related to
Sort By:
Page
of 10
You have reached the last page of results.
This site can display upto 100 results.
ACS Earth & Space Chemistry
|
October 28, 2022
Compositional Constraints are Vital for Atmospheric PM<sub>2.5</sub> Source Attribution over India
Sidhant J Pai, Colette L Heald, Hugh Coe, et al.
Nature
|
June 26, 2024
Structural mechanism of bridge RNA-guided recombination
Masahiro Hiraizumi, Nicholas T Perry, Matthew G Durrant, et al.
Journal of Immunology (Baltimore, Md. : 1950)
|
November 29, 2023
IL-17A Orchestrates Reactive Oxygen Species/HIF1α-Mediated Metabolic Reprogramming in Psoriasis
Bhavuk Dhamija, Soumitra Marathe, Vinanti Sawant, et al.
Advances in Experimental Medicine and Biology
|
June 28, 2023
Proteomic Investigation of COVID-19 Severity During the Tsunamic Second Wave in Mumbai
Sakshi Rajoria, Divya Nair, Kruthi Suvarna, et al.
Science (New York, N.Y.)
|
September 25, 2025
Megabase-scale human genome rearrangement with programmable bridge recombinases
Nicholas T Perry, Liam J Bartie, Dhruva Katrekar, et al.
BMC Genomics
|
November 4, 2024
Microprotein-encoding RNA regulation in cells treated with pro-inflammatory and pro-fibrotic stimuli
Victor J Pai, Calvin J Lau, Almudena Garcia-Ruiz, et al.
Iscience
|
February 9, 2021
Proteomic investigation reveals dominant alterations of neutrophil degranulation and mRNA translation pathways in patients with COVID-19
Renuka Bankar, Kruthi Suvarna, Saicharan Ghantasala, et al.
Frontiers in Physiology
|
May 17, 2021
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential
Kruthi Suvarna, Deeptarup Biswas, Medha Gayathri J Pai, et al.
Statistics in Medicine
|
March 9, 2010
Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables
Stephen Burgess, Simon G Thompson, , et al.
European Journal of Epidemiology
|
September 19, 2007
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases
, J Danesh, S Erqou, et al.
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of 10