Whole transcriptome analysis of schinifoline treatment in Caenorhabditis elegans infected with Candida albicans

2021 ◽  
Vol 135 ◽  
pp. 312-319
Author(s):  
Lu Lu ◽  
Zhuohang Li ◽  
Chengying Shan ◽  
Shihong Ma ◽  
Wei Nie ◽  
...  
Keyword(s):  
Candida Albicans ◽  
Caenorhabditis Elegans ◽  
Transcriptome Analysis ◽  
Whole Transcriptome Analysis ◽  
Whole Transcriptome

scholarly journals Copper Availability Influences the Transcriptomic Response of Candida albicans to Fluconazole Stress

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Elizabeth W Hunsaker ◽  
Chen-Hsin Albert Yu ◽  
Katherine J Franz
Keyword(s):  
Candida Albicans ◽  
Time Course ◽  
Transcriptional Response ◽  
Metal Homeostasis ◽  
Metal Availability ◽  
Drug Induced ◽  
Transcriptomic Response ◽  
Opportunistic Fungal Pathogen ◽  
Whole Transcriptome Analysis ◽  
Whole Transcriptome

Abstract The ability of pathogens to maintain homeostatic levels of essential biometals is known to be important for survival and virulence in a host, which itself regulates metal availability as part of its response to infection. Given this importance of metal homeostasis, we sought to address how the availability of copper in particular impacts the response of the opportunistic fungal pathogen Candida albicans to treatment with the antifungal drug fluconazole. The present study reports whole transcriptome analysis via time-course RNA-seq of C. albicans cells exposed to fluconazole with and without 10 µM supplemental CuSO4 added to the growth medium. The results show widespread impacts of small changes in Cu availability on the transcriptional response of C. albicans to fluconazole. Of the 2359 genes that were differentially expressed under conditions of cotreatment, 50% were found to be driven uniquely by exposure to both Cu and fluconazole. The breadth of metabolic processes that were affected by cotreatment illuminates a fundamental intersectionality between Cu metabolism and fungal response to drug stress. More generally, these results show that seemingly minor fluctuations in Cu availability are sufficient to shift cells’ transcriptional response to drug stress. Ultimately, the findings may inform the development of new strategies that capitalize on drug-induced vulnerabilities in metal homeostasis pathways.

scholarly journals 184 Whole-transcriptome analysis by RNA-Seq for genetic diagnosis of Mendelian skin disorders in the context of consanguinity

2021 ◽  
Vol 141 (5) ◽  
pp. S32
Author(s):  
L. Youssefian ◽  
A. Saeidian ◽  
P. Fortina ◽  
A. South ◽  
J. Uitto ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Genetic Diagnosis ◽  
Rna Seq ◽  
Skin Disorders ◽  
Whole Transcriptome Analysis ◽  
Whole Transcriptome

scholarly journals Whole‐Transcriptome Analysis ofPlasmodium falciparumField Isolates: Identification of New Pathogenicity Factors

2007 ◽  
Vol 196 (11) ◽  
pp. 1603-1612 ◽  
Author(s):  
Anthony Siau ◽  
Fousseyni S. Touré ◽  
Odile Ouwe‐Missi‐Oukem‐Boyer ◽  
Liliane Cicéron ◽  
Nassira Mahmoudi ◽  
...  
Keyword(s):  
Transcriptome Analysis ◽  
Pathogenicity Factors ◽  
Whole Transcriptome Analysis ◽  
Whole Transcriptome

scholarly journals Alterations of Immune and Keratinization Gene Expression in Papulopustular Rosacea by Whole Transcriptome Analysis

2020 ◽  
Vol 140 (5) ◽  
pp. 1100-1103.e4 ◽  
Author(s):  
Yi-Hsien Shih ◽  
Jin Xu ◽  
Anusha Kumar ◽  
Rui Li ◽  
Anne Lynn S. Chang
Keyword(s):  
Gene Expression ◽  
Transcriptome Analysis ◽  
Whole Transcriptome Analysis ◽  
Whole Transcriptome

Whole Transcriptome Analysis: Implication to Estrous Cycle Regulation

2021 ◽  
Author(s):  
Xiaopeng An ◽  
Yue Zhang ◽  
Fu Li ◽  
Zhanhang Wang ◽  
Shaohua Yang ◽  
...  
Keyword(s):  
Estrous Cycle ◽  
Transcriptome Analysis ◽  
Circular Rna ◽  
Differentially Expressed ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Whole Transcriptome Analysis ◽  
Cycle Regulation ◽  
Whole Transcriptome ◽  
Goat Ovary

Abstract BackgroundEstrous cycle is one of female characteristics after sexual maturity, including estrus (ES) and diestrus (DS) stages. Estrous cycle is important in female physiology and its disorder may lead to diseases. In the latest years, effects of non-coding RNAs and mRNA on estrous cycle start to arouse much concern, however, a whole transcriptome analysis among non-coding RNAs and mRNA has not been reported.ResultsHere we report a whole transcriptome analysis of goat ovary in estrus and diestrus periods. Estrus synchronization was conducted to induce the estrus phase and on day 32, the goats naturally shifted into diestrus stage. The ovary RNA of estrus and diestrus stages was respectively collected to perform RNA-sequencing. Then the circular RNA; microRNA; long non-coding RNA; mRNA databases of goat ovary were acquired, and the differentially expressions between estrus and diestrus stages were screened to construct circRNA-miRNA-mRNA/lncRNA and lncRNA-miRNA/mRNA networks, thus providing potential pathways that involved in the regulation of estrous cycle. Differentially expressed mRNAs, such as MMP9, TIMP1, 3BHSD and PTGIS, and differentially expressed microRNAs, such as miR-21-3p，miR-202-3p and miR-223-3p, which play key roles in estrous cycle regulation were extracted from the network.ConclusionsOur data provided the miRNA, circRNA, lncRNA and mRNA databases of goat ovary and each differentially expressed profile between ES and DS. Networks among differentially expressed miRNAs, circRNAs, lncRNAs and mRNAs were constructed to provide valuable resources for the study of estrous cycle and related diseases.

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