<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nimbalkar, Suhas B.</style></author><author><style face="normal" font="default" size="100%">Harsulkar, Abhay M.</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok P.</style></author><author><style face="normal" font="default" size="100%">Sainani, Mohini N.</style></author><author><style face="normal" font="default" size="100%">Franceschi, Vincent R.</style></author><author><style face="normal" font="default" size="100%">Gupta, Vidya S.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Differentially expressed gene transcripts in roots of resistant and susceptible chickpea plant (Cicer arietinum L.) upon Fusarium oxysporum infection</style></title><secondary-title><style face="normal" font="default" size="100%">Physiological and Molecular Plant Pathology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cDNA-AFLP</style></keyword><keyword><style  face="normal" font="default" size="100%">Chickpea</style></keyword><keyword><style  face="normal" font="default" size="100%">Cicer arietinum</style></keyword><keyword><style  face="normal" font="default" size="100%">differentially expressed genes</style></keyword><keyword><style  face="normal" font="default" size="100%">fusarium oxysporum</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">APR</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">4-6</style></number><publisher><style face="normal" font="default" size="100%">ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD</style></publisher><pub-location><style face="normal" font="default" size="100%">24-28 OVAL RD, LONDON NW1 7DX, ENGLAND</style></pub-location><volume><style face="normal" font="default" size="100%">68</style></volume><pages><style face="normal" font="default" size="100%">176-188</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Differentially expressed genes in chickpea, (Cicer arietinum L.) during root infection by Fusarium oxysportan f sp. ciceri Racel, were identified using cDNA-RAPD and cDNA-AFLP approaches. The former employed decamer primers on cDNA template and revealed nine differentially expressed transcripts in the resistant-infected chickpea variety. Among the 2000 transcript-derived fragments (TDFs) screened by cDNA-AFLP, 273 were differentially expressed in chickpea roots during Fusaritan infection. Only 13.65% of the TDFs were differentially regulated during pathogen challenge, while the other 86% were expressed non-differentially during the process of pathogen infection in chickpea roots. Nineteen TDFs, which expressed differentially in the resistant-infected chickpea variety were cloned and sequenced. Two of these TDFs were similar to transcription factors like WRKY proteins and 14-3-3 proteins, while three TDFs represented the NBS-LRR-type gene sequences. Two TDFs had sequence identity to genes known to have function in defense. The RAPID TDF CaFRi60 showed sequence identity to gamma-glutamyl-cysteine synthetase. Among the TDFs examined by cDNA-AFLP, 19 were confirmed by Reverse Northern blot to be differentially expressed. The data confirms the effectiveness of the cDNA-AFLP technique in detecting differentially expressed genes during pathogenesis. (c) 2006 Elsevier Ltd. All rights reserved.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">4-6</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;</style></custom3><custom4><style face="normal" font="default" size="100%">1.371</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pandreka, Avinash</style></author><author><style face="normal" font="default" size="100%">Dandekar, Devdutta S.</style></author><author><style face="normal" font="default" size="100%">Haldar, Saikat</style></author><author><style face="normal" font="default" size="100%">Uttara, Vairagkar</style></author><author><style face="normal" font="default" size="100%">Vijayshree, Shinde G.</style></author><author><style face="normal" font="default" size="100%">Mulani, Fayaj A.</style></author><author><style face="normal" font="default" size="100%">Aarthy, Thiagarayaselvam</style></author><author><style face="normal" font="default" size="100%">Thulasiram, Hirekodathakallu V.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Triterpenoid profiling and functional characterization of the initial genes involved in isoprenoid biosynthesis in neem (Azadirachta indica)</style></title><secondary-title><style face="normal" font="default" size="100%">BMC Plant Biology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Azadirachta indica</style></keyword><keyword><style  face="normal" font="default" size="100%">Quantitative profiling</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword><keyword><style  face="normal" font="default" size="100%">Triterpenoids</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">SEP</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">BIOMED CENTRAL LTD</style></publisher><pub-location><style face="normal" font="default" size="100%">236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND</style></pub-location><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">Article Number: 214</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Background: Neem tree (Azadirachta indica) is one of the richest sources of skeletally diverse triterpenoids and they are well-known for their broad-spectrum pharmacological and insecticidal properties. However, the abundance of Neem triterpenoids varies among the tissues. Here, we delineate quantitative profiling of fifteen major triterpenoids across various tissues including developmental stages of kernel and pericarp, flower, leaf, stem and bark using UPLC-ESI (+)-HRMS based profiling. Transcriptome analysis was used to identify the initial genes involved in isoprenoid biosynthesis. Based on transcriptome analysis, two short-chain prenyltransferases and squalene synthase (AiSQS) were cloned and functionally characterized. Results: Quantitative profiling revealed differential abundance of both total and individual triterpenoid content across various tissues. RNA from tissues with high triterpenoid content (fruit, flower and leaf) were pooled to generate 79.08 million paired-end reads using Illumina GA.. platform. 41,140 transcripts were generated by d e novo assembly. Transcriptome annotation led to the identification of the putative genes involved in isoprenoid biosynthesis. Two short-chain prenyltransferases, geranyl diphosphate synthase (AiGDS) and farnesyl diphosphate synthase (AiFDS) and squalene synthase (AiSQS) were cloned and functionally characterized using transcriptome data. RT-PCR studies indicated five-fold and ten-fold higher relative expression level of AiSQS in fruits as compared to leaves and flowers, respectively. Conclusions: Triterpenoid profiling indicated that there is tissue specific variation in their abundance. The mature seed kernel and initial stages of pericarp were found to contain the highest amount of limonoids. Furthermore, a wide diversity of triterpenoids, especially C-seco triterpenoids were observed in kernel as compared to the other tissues. Pericarp, flower and leaf contained mainly ring-intact triterpenoids. The initial genes such as AiGDS, AiFDS and AiSQS involved in the isoprenoids biosynthesis have been functionally characterized. The expression levels of AiFDS and AiSQS were found to be in correlation with the total triterpenoid content in individual tissues.&lt;/p&gt;</style></abstract><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;</style></custom3><custom4><style face="normal" font="default" size="100%">3.631</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Anand, Atul</style></author><author><style face="normal" font="default" size="100%">Jayaramaiah, Ramesha H.</style></author><author><style face="normal" font="default" size="100%">Beedkar, Supriya D.</style></author><author><style face="normal" font="default" size="100%">Dholakia, Bhushan B.</style></author><author><style face="normal" font="default" size="100%">Lavhale, Santosh G.</style></author><author><style face="normal" font="default" size="100%">Punekar, Sachin A.</style></author><author><style face="normal" font="default" size="100%">Gade, Wasudeo N.</style></author><author><style face="normal" font="default" size="100%">Thulasiram, Hirekodathakallu V.</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Terpene profiling, transcriptome analysis and characterization of cis–terpineol synthase from Ocimum</style></title><secondary-title><style face="normal" font="default" size="100%">Physiology and Molecular Biology of Plants</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agro-infiltration assay</style></keyword><keyword><style  face="normal" font="default" size="100%">Metabolite profiling</style></keyword><keyword><style  face="normal" font="default" size="100%">Ocimum</style></keyword><keyword><style  face="normal" font="default" size="100%">Terpene synthase</style></keyword><keyword><style  face="normal" font="default" size="100%">Terpenes</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">25</style></volume><pages><style face="normal" font="default" size="100%">47-57</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Ocimum species produces a varied mix of different metabolites that imparts immense medicinal properties. To explore this chemo-diversity, we initially carried out metabolite profiling of different tissues of five Ocimum species and identified the major terpenes. This analysis broadly classified these five Ocimum species into two distinct chemotypes namely, phenylpropanoid-rich and terpene-rich. In particular, -caryophyllene, myrcene, limonene, camphor, borneol and selinene were major terpenes present in these Ocimum species. Subsequently, transcriptomic analysis of pooled RNA samples from different tissues of Ocimum gratissimum, O. tenuiflorum and O. kilimandscharicum identified 38 unique transcripts of terpene synthase (TPS) gene family. Full-length gene cloning, followed by sequencing and phylogenetic analysis of three TPS transcripts were carried out along with their expression in various tissues. Terpenoid metabolite and expression profiling of candidate TPS genes in various tissues of Ocimum species revealed spatial variances. Further, putative TPS contig 19414 (TPS1) was selected to corroborate its role in terpene biosynthesis. Agrobacterium-mediated transient over-expression assay of TPS1 in the leaves of O. kilimandscharicum and subsequent metabolic and gene expression analyses indicated it as a cis–terpineol synthase. Overall, present study provided deeper understanding of terpene diversity in Ocimum species and might help in the enhancement of their terpene content through advanced biotechnological approaches.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">1.151</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gharat, Sachin A.</style></author><author><style face="normal" font="default" size="100%">Shinde, Balkrishna A.</style></author><author><style face="normal" font="default" size="100%">Mule, Ravindra D.</style></author><author><style face="normal" font="default" size="100%">Punekar, Sachin A.</style></author><author><style face="normal" font="default" size="100%">Dholakia, Bhushan B.</style></author><author><style face="normal" font="default" size="100%">Jayaramaiah, Ramesha H.</style></author><author><style face="normal" font="default" size="100%">Ramaswamy, Gopalakrishna</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">High-throughput metabolomic and transcriptomic analyses vet the potential route of cerpegin biosynthesis in two varieties of Ceropegia bulbosa Roxb.</style></title><secondary-title><style face="normal" font="default" size="100%">Planta</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">5-Allyl cerpegin</style></keyword><keyword><style  face="normal" font="default" size="100%">Ceropegia</style></keyword><keyword><style  face="normal" font="default" size="100%">Cerpegin</style></keyword><keyword><style  face="normal" font="default" size="100%">LC-MS</style></keyword><keyword><style  face="normal" font="default" size="100%">metabolite</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">251</style></volume><pages><style face="normal" font="default" size="100%">28</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Ceropegia bulbosa is an important medicinal plant, used in the treatment of various ailments including diarrhea, dysentery, and syphilis. This is primarily attributed to the presence of pharmaceutically active secondary metabolites, especially cerpegin. As this plant belongs to an endemic threatened category, genomic resources are not available hampering exploration on the molecular basis of cerpegin accumulation till now. Therefore, we undertook high-throughput metabolomic and transcriptomic analyses using different tissues from two varieties namely, C. bulbosa var. bulbosa and C. bulbosa var. lushii. Metabolomic analysis revealed spatial and differential accumulation of various metabolites. We chemically synthesized and characterized the cerpegin and its derivatives by liquid chromatography tandem-mass spectrometry (LC-MS/MS). Importantly, these comparisons suggested the presence of cerpegin and 5-allyl cerpegin in all C. bulbosa tissues. Further, de novo transcriptome analysis indicated the presence of significant transcripts for secondary metabolic pathways through the Kyoto encyclopedia of genes and genomes database. Tissue-specific profiling of transcripts and metabolites showed a significant correlation, suggesting the intricate mechanism of cerpegin biosynthesis. The expression of potential candidate genes from the proposed cerpegin biosynthetic pathway was further validated by qRT-PCR and NanoString nCounter. Overall, our findings propose a potential route of cerpegin biosynthesis. Identified transcripts and metabolites have built a foundation as new molecular resources that could facilitate future research on biosynthesis, regulation, and engineering of cerpegin or other important metabolites in such non-model plants.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;3.390&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pandreka, Avinash</style></author><author><style face="normal" font="default" size="100%">Chaya, Patil S.</style></author><author><style face="normal" font="default" size="100%">Kumar, Ashish</style></author><author><style face="normal" font="default" size="100%">Aarthy, Thiagarayaselvam</style></author><author><style face="normal" font="default" size="100%">Mulani, Fayaj A.</style></author><author><style face="normal" font="default" size="100%">Bhagyashree, Date D.</style></author><author><style face="normal" font="default" size="100%">Shilpashree, H. B.</style></author><author><style face="normal" font="default" size="100%">Jennifer, Cheruvathur</style></author><author><style face="normal" font="default" size="100%">Ponnusamy, Sudha</style></author><author><style face="normal" font="default" size="100%">Nagegowda, Dinesh</style></author><author><style face="normal" font="default" size="100%">Thulasiram, V. Hirekodathakallu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Limonoid biosynthesis 3: functional characterization of crucial genes involved in neem limonoid biosynthesis</style></title><secondary-title><style face="normal" font="default" size="100%">Phytochemistry</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">24-dien-3 beta-ol</style></keyword><keyword><style  face="normal" font="default" size="100%">Azadirachta indica A. Juss.</style></keyword><keyword><style  face="normal" font="default" size="100%">Cytochrome P450 system</style></keyword><keyword><style  face="normal" font="default" size="100%">Limonoids</style></keyword><keyword><style  face="normal" font="default" size="100%">Meliaceae</style></keyword><keyword><style  face="normal" font="default" size="100%">Tirucalla-7</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">APR</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">184</style></volume><pages><style face="normal" font="default" size="100%">112669</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Neem (Azadirachta indica L.) is well known for its medicinal, agricultural, and pesticidal applications since ages. The secondary metabolites, limonoids, confer these biological properties, wherein over 150 different limonoids have been reported from neem. To understand limonoid biosynthesis, we analyzed tissue-specific (kernel, pericarp, leaves, and flower) transcriptome that resulted in the identification of one farnesyl diphosphate synthase (AiFDS), one squalene synthase (AiSQS), three squalene epoxidases (AiSQE1, AiSQE2, and AiSQE3), two triterpene synthases (AiTTS1 and AiTTS2), cycloartenol synthase (AiCAS), two cytochrome P450 reductases, and ten cytochrome P450 systems. Comparative tissue-expression analysis indicated that AiFDS, AiSQS, AiSQE3, and AiTTS1 are expressed higher in the kernel than in the other tissues. Heterologously expressed recombinant AiTTS1 produced tirucalla-7,24-dien-3 beta-ol as the sole product. Expression profile data, phylogeny with triterpene synthases from Meliaceae and Rutaceae families, real-time PCR of different tissues, and transient transformation revealed the involvement of tirucalla-7,24-dien-3 beta-ol synthase (AiTTS1) in limonoid biosynthesis. Further, mutagenesis studies of AiTTS1 indicated that Y125 and F260 are probably involved in stabilization of dammarenyl cation. A 2.6-fold increase in production of tirucalla-7,24-dien-3 beta-ol was observed when AiSQE1 was coexpressed with mutant AiTTS1 in a yeast system. Furthermore, we functionally characterized the highly expressed cytochrome P450 reductases and cycloartenol synthase. This study helps in further analysis and identification of genes involved in limonoid biosynthesis in Meliaceae/Rutaceae and their production in a metabolically tractable heterologous system.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">4.072
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Oak, Pranjali</style></author><author><style face="normal" font="default" size="100%">Jha, Vineet</style></author><author><style face="normal" font="default" size="100%">Deshpande, Ashish</style></author><author><style face="normal" font="default" size="100%">Tanpure, Rahul</style></author><author><style face="normal" font="default" size="100%">Dawkar, Vishal</style></author><author><style face="normal" font="default" size="100%">Mundhe, Swapnil</style></author><author><style face="normal" font="default" size="100%">Ghuge, Sandeep</style></author><author><style face="normal" font="default" size="100%">Prabhudesai, Shrikant</style></author><author><style face="normal" font="default" size="100%">Krishanpal, Anamika</style></author><author><style face="normal" font="default" size="100%">Jere, Abhay</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok</style></author><author><style face="normal" font="default" size="100%">Gupta, Vidya</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Transcriptional and translational perturbation in abiotic stress induced physiological activities and metabolic pathway networks in spongy tissue disorder of mango fruit</style></title><secondary-title><style face="normal" font="default" size="100%">Postharvest Biology and Technology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Oxidative stress</style></keyword><keyword><style  face="normal" font="default" size="100%">Proteome</style></keyword><keyword><style  face="normal" font="default" size="100%">spongy tissue disorder</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword><keyword><style  face="normal" font="default" size="100%">` Alphonso ` mango</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">188</style></volume><pages><style face="normal" font="default" size="100%">111880</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Spongy tissue formation is economically the most detrimental but agriculturally less focused physiological disorder in mango. `Alphonso' cultivar is highly prone to oxidative stress induced spongy tissue disorder impacting biochemical and metabolic profile, thereby affecting pulp quality and nutritional value of the fruit. In the present study, comparative analysis of spongy and healthy mesocarp tissues of `Alphonso' mango by transcriptomics using Illumina sequencing and proteomics using LC-MS approaches, respectively identified and quantified many genes and proteins in the metabolic pathways responsible for the spongy tissue development. The table green and the mid ripe stages of `Alphonso' fruit ripening were evaluated by the transcriptomic study and outcomes were validated using proteomic investigations for all the four ripening stages. Colossal amount of data including 30,582 transcripts, 10,800 gene ontologies and 387 putative proteins was generated from this analysis. Current multi-omics exploration revealed the development of abiotic stress (mainly oxidative stress) induced perturbations in various metabolic pathways and their interconnections, leading to the spongy tissue formation in mango. This further unfolded the altered cell wall degradation, ethylene and flavonoid biosynthesis, fruit ripening and flavor formation, thus hampering the fruit specific characteristics in mango with spongy tissue disorder.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	6.751&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bhowmick, Rupa</style></author><author><style face="normal" font="default" size="100%">Sarkar, Ram Rup</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification of potential microRNAs regulating metabolic plasticity and cellular phenotypes in glioblastoma</style></title><secondary-title><style face="normal" font="default" size="100%">Molecular Genetics and Genomics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cellular phenotypes</style></keyword><keyword><style  face="normal" font="default" size="100%">Functional analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Glioblastoma metabolism</style></keyword><keyword><style  face="normal" font="default" size="100%">microRNA</style></keyword><keyword><style  face="normal" font="default" size="100%">miRNA-based therapy</style></keyword><keyword><style  face="normal" font="default" size="100%">Network analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2023</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">298</style></volume><pages><style face="normal" font="default" size="100%">161-181</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	MicroRNAs (miRNAs) play important role in regulating cellular metabolism, and are currently being explored in cancer. As metabolic reprogramming in cancer is a major mediator of phenotypic plasticity, understanding miRNA-regulated metabolism will provide opportunities to identify miRNA targets that can regulate oncogenic phenotypes by taking control of cellular metabolism. In the present work, we studied the effect of differentially expressed miRNAs on metabolism, and associated oncogenic phenotypes in glioblastoma (GBM) using patient-derived data. Networks of differentially expressed miRNAs and metabolic genes were created and analyzed to identify important miRNAs that regulate major metabolism in GBM. Graph network-based approaches like network diffusion, backbone extraction, and different centrality measures were used to analyze these networks for identification of potential miRNA targets. Important metabolic processes and cellular phenotypes were annotated to trace the functional responses associated with these miRNA-regulated metabolic genes and associated phenotype networks. miRNA-regulated metabolic gene subnetworks of cellular phenotypes were extracted, and important miRNAs regulating these phenotypes were identified. The most important outcome of the study is the target miRNA combinations predicted for five different oncogenic phenotypes that can be tested experimentally for miRNA-based therapeutic design in GBM. Strategies implemented in the study can be used to generate testable hypotheses in other cancer types as well, and design context-specific miRNA-based therapy for individual patient. Their usability can be further extended to other gene regulatory networks in cancer and other genetic diseases.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	2.980&lt;/p&gt;
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Barve, Pranoti R.</style></author><author><style face="normal" font="default" size="100%">Barvkar, Vitthal T.</style></author><author><style face="normal" font="default" size="100%">Giri, Ashok P.</style></author><author><style face="normal" font="default" size="100%">Kotkar, Hemlata M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">High levels of sinigrin trigger synthesis of fatty acids in Plutella xylostella (L.)</style></title><secondary-title><style face="normal" font="default" size="100%">Comparative Biochemistry and Physiology D-Genomics &amp; Proteomics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">ABC transporter</style></keyword><keyword><style  face="normal" font="default" size="100%">Cuticle</style></keyword><keyword><style  face="normal" font="default" size="100%">Host metabolite</style></keyword><keyword><style  face="normal" font="default" size="100%">Metabolome</style></keyword><keyword><style  face="normal" font="default" size="100%">Plutella xylostella</style></keyword><keyword><style  face="normal" font="default" size="100%">Sinigrin</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptome</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2025</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JUN</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">54</style></volume><pages><style face="normal" font="default" size="100%">101424</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;
	Diamondback moth (Lepidoptera: Plutellidae; Plutella xylostella L.) is a specialist insect of the Brassicaceae family, damaging economically important crops, such as cabbage and cauliflower. Glucosinolates, also known as `mustard oil bombs' are present in all Brassicaceae members, of which sinigrin (allyl-glucosinolate or 2-propenylglucosinolate) is a major aliphatic compound. During herbivory, glucosinolates are converted to toxic isothiocyanates that deter insect pests. P. xylostella possesses glucosinolate sulfatases that desulfate them. Such a conversion renders them unfit for degradation to toxic products. Changes in the larval performance prompted us for RNA sequencing to understand probable adaptation mechanism under sinigrin stress. Differentially expressed genes were found to be related to larval cuticle proteins. Further, gene ontology and KEGG (Kyoto Encyclopedia of Genes and Genomes) analyses depict genes belonging to the categories, integral component of membrane, cellular processes and those involved in biosynthesis of fatty acids. Upregulation of cuticular genes viz. larval cuticle protein-17 (LCP-17), cuticular protein-19 (2CP-19) and ATP binding cassette transporter C7 (ABCC7), ABCC16 was validated by qRT-PCR. Liquid chromatography quadrupole time of flight mass spectrometry analysis of whole larvae feeding on sinigrin and their separated cuticle, depicted abundance of fatty acids. Changes in the topography of the larval cuticle were evident by scanning electron microscopy. Expression of PxABCH1 was corroborated to its role in the transport of cuticular lipids. Notably, molecular docking of PxABCH1 with cuticular fatty acids showed favorable binding interactions. To summarize, integrated transcriptomic and metabolomic analyses suggest that in response to a diet containing a high dose of sinigrin, P. xylostella re-programs metabolic pathways related to fatty acid biosynthesis that directly influence insect development.&lt;/p&gt;
</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><custom3><style face="normal" font="default" size="100%">&lt;p&gt;
	Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;
	2.2&lt;/p&gt;
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