scholarly journals Characterization of the Rhipicephalus (Boophilus) microplus Sialotranscriptome Profile in Response to Theileria equi Infection

Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 167
Author(s):  
Patrícia Paulino ◽  
Gabriela Vitari ◽  
Antonio Rezende ◽  
Joana Couto ◽  
Sandra Antunes ◽  
...  

This study intends to characterize the sialotranscriptome profile of Rhipicephalus (Boophilus) microplus in response to Theileria equi and identify genes of interest with differential genomic expression, indicating relevant targets in the tick–protozoan interactions. The experimental design consisted of RNA sequencing from uninfected and T. equi-infected R. microplus salivary glands (SGs) to obtain transcriptomic profiles for characterization and comparison. A total of 288,952 transcripts were obtained from both tick profiles, 3456 transcripts (p < 0.05) differentially expressed in response to T. equi infection. The uninfected SGs’ registered 231,179 transcripts, of which 155,359 were annotated. The most transcribed sequences were female-specific histamine binding protein and lipocalins. Regarding the T. equi-infected SGs, from the 238,964 assembled transcripts, 163,564 were annotated. The most transcribed sequences were histone demethylase JARID1 and Y-box-binding protein. Five transcripts (cystatin, arginase, nuclear factor κB kinase inhibitor subunit β (IκB), IκB delta, lysosomal-trafficking regulator, and reeler protein) presented the gene ontology (GO) category “response to protozoan” and were exclusively displayed in the T. equi-infected profile. The transcriptome of T. equi was also analyzed, registering 4728 hits. The study’s genetic and molecular information would be of great value for future studies and biotechnological applications envisaging disease control.


1984 ◽  
Vol 104 (4_Supplb) ◽  
pp. S91-S92
Author(s):  
G. DAXENBICHLER ◽  
E. H. MOSER
Keyword(s):  
Rat Lung ◽  


Biochemistry ◽  
2013 ◽  
Vol 52 (9) ◽  
pp. 1583-1593 ◽  
Author(s):  
Ki-Young Lee ◽  
Ji-Hun Kim ◽  
Kyu-Yeon Lee ◽  
Jiyun Lee ◽  
Ingyun Lee ◽  
...  




1990 ◽  
Vol 265 (9) ◽  
pp. 5273-5279
Author(s):  
M E Conrad ◽  
J N Umbreit ◽  
E G Moore ◽  
R D Peterson ◽  
M B Jones


1981 ◽  
Vol 256 (9) ◽  
pp. 4247-4252
Author(s):  
Y. Mizuno ◽  
Y. Kozutsumi ◽  
T. Kawasaki ◽  
I. Yamashina


2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Xina Xie ◽  
Jiatian Lin ◽  
Xiaoqin Fan ◽  
Yuantang Zhong ◽  
Yequn Chen ◽  
...  

AbstractBecause of the lack of sensitivity to radiotherapy and chemotherapy, therapeutic options for renal clear cell carcinoma (KIRC) are scarce. Long noncoding RNAs (lncRNAs) play crucial roles in the progression of cancer. However, their functional roles and upstream mechanisms in KIRC remain largely unknown. Exploring the functions of potential essential lncRNAs may lead to the discovery of novel targets for the diagnosis and treatment of KIRC. Here, according to the integrated analysis of RNA sequencing and survival data in TCGA-KIRC datasets, cyclin-dependent kinase inhibitor 2B antisense lncRNA (CDKN2B-AS1) was discovered to be the most upregulated among the 14 lncRNAs that were significantly overexpressed in KIRC and related to shorter survival. Functionally, CDKN2B-AS1 depletion suppressed cell proliferation, migration, and invasion both in vitro and in vivo. Mechanistically, CDKN2B-AS1 exerted its oncogenic activity by recruiting the CREB-binding protein and SET and MYND domain-containing 3 epigenetic-modifying complex to the promoter region of Ndc80 kinetochore complex component (NUF2), where it epigenetically activated NUF2 transcription by augmenting local H3K27ac and H3K4me3 modifications. Moreover, we also showed that CDKN2B-AS1 interacted with and was stabilized by insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3), an oncofetal protein showing increased levels in KIRC. The Kaplan–Meier method and receiver operating curve analysis revealed that patients whose IGF2BP3, CDKN2B-AS1 and NUF2 are all elevated showed the shortest survival time, and the combined panel (containing IGF2BP3, CDKN2B-AS1, and NUF2) possessed the highest accuracy in discriminating high-risk from low-risk KIRC patients. Thus, we conclude that the stabilization of CDKN2B-AS1 by IGF2BP3 drives the malignancy of KIRC through epigenetically activating NUF2 transcription and that the IGF2BP3/CDKN2B-AS1/NUF2 axis may be an ideal prognostic and diagnostic biomarker and therapeutic target for KIRC.



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