Jyothi Padiadpu
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Explore the profile of Jyothi Padiadpu including associated specialties, affiliations and a list of published articles.
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14
Citations
136
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Recent Articles
1.
Newman N, Macovsky M, Rodrigues R, Bruce A, Pederson J, Padiadpu J, et al.
Nat Protoc
. 2024 Mar;
19(6):1750-1778.
PMID: 38472495
We present Transkingdom Network Analysis (TkNA), a unique causal-inference analytical framework that offers a holistic view of biological systems by integrating data from multiple cohorts and diverse omics types. TkNA...
2.
Gaudino S, Singh A, Huang H, Padiadpu J, Jean-Pierre M, Kempen C, et al.
Nat Commun
. 2024 Feb;
15(1):1597.
PMID: 38383607
IL-22 is critical for ameliorating obesity-induced metabolic disorders. However, it is unknown where IL-22 acts to mediate these outcomes. Here we examine the importance of tissue-specific IL-22RA1 signaling in mediating...
3.
Padiadpu J, Garcia-Jaramillo M, Newman N, Pederson J, Rodrigues R, Li Z, et al.
EMBO Mol Med
. 2023 Oct;
15(11):e18367.
PMID: 37859621
Clinical and preclinical studies established that supplementing diets with ω3 polyunsaturated fatty acids (PUFA) can reduce hepatic dysfunction in nonalcoholic steatohepatitis (NASH) but molecular underpinnings of this action were elusive....
4.
Padiadpu J, Spooner M, Li Z, Newman N, Lohr C, Apperson K, et al.
Front Nutr
. 2023 Aug;
10:1147602.
PMID: 37609485
Background: Nonalcoholic fatty liver disease (NAFLD) is a global health problem. Identifying early gene indicators contributing to the onset and progression of NAFLD has the potential to develop novel targets...
5.
Newman N, Macovsky M, Rodrigues R, Bruce A, Pederson J, Patil S, et al.
bioRxiv
. 2023 Mar;
PMID: 36865280
Technological advances have generated tremendous amounts of high-throughput omics data. Integrating data from multiple cohorts and diverse omics types from new and previously published studies can offer a holistic view...
6.
Li Z, Gurung M, Rodrigues R, Padiadpu J, Newman N, Manes N, et al.
J Exp Med
. 2022 Jun;
219(7).
PMID: 35657352
Microbiota contribute to the induction of type 2 diabetes by high-fat/high-sugar (HFHS) diet, but which organs/pathways are impacted by microbiota remain unknown. Using multiorgan network and transkingdom analyses, we found...
7.
Padiadpu J, Baloni P, Anand K, Munshi M, Thakur C, Mohan A, et al.
ACS Infect Dis
. 2016 Oct;
2(9):592-607.
PMID: 27759382
The global mechanisms and associated molecular alterations that occur in drug-resistant mycobacteria are poorly understood. To address this, we obtain genomics data and then construct a genome-scale response network in...
8.
Padiadpu J, Mishra M, Sharma E, Mala U, Somasundaram K, Chandra N
J Chem Inf Model
. 2016 Mar;
56(5):843-53.
PMID: 26958865
The biosynthesis of NAD constitutes an important metabolic module in the cell, since NAD is an essential cofactor involved in several metabolic reactions. NAD concentrations are known to be significantly...
9.
Padiadpu J, Baloni P, Chandra N
Data Brief
. 2015 Jul;
4:186-9.
PMID: 26217786
The global variations in the gene expression pattern of drug treated (½X) and laboratory evolved drug-resistant strains (2XR and 4XR) of Mycobacterium smegmatis were obtained and compared with the M....
10.
Mohan A, Padiadpu J, Baloni P, Chandra N
Genome Announc
. 2015 Feb;
3(1).
PMID: 25657281
We report the whole genome sequences of a Mycobacterium smegmatis laboratory wild-type strain (MC(2) 155) and mutants (4XR1, 4XR2) resistant to isoniazid. Compared to Mycobacterium smegmatis MC(2) 155 (NC_008596), a...