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1.
J Virol ; 96(21): e0037122, 2022 11 09.
Artigo em Inglês | MEDLINE | ID: mdl-36286483

RESUMO

Gammaherpesviruses, including Epstein-Barr virus (EBV), are important human pathogens because they are associated with various tumors. Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional host nuclear protein responsible for poly(ADP-ribosyl)ation (PARylation) of target proteins. While PARP1 acts as a negative regulator that suppresses the lytic replication of gammaherpesviruses, viruses are often equipped with various strategies to overcome PARP1 inhibition. However, the mechanisms of how EBV may modulate a repressive host protein, PARP1, are still elusive. In this study, we found that EBV reactivation induced PARP1 downregulation in EBV-infected cells. EBV DNA polymerase processivity factor EA-D, encoded by the BMRF1 gene, directly interacted with the central automodification domain (AD) of PARP1 and was necessary and sufficient to downregulate PARP1 via K29-linked polyubiquitination. Moreover, knockdown of EA-D in B95.8 cells restored PARP1 levels and abrogated the expression of ZTA (also known as ZEBRA), a switch molecule of the EBV life cycle during reactivation. Interestingly, PARP1 PARylated RTA, another key switch molecule, and decreased RTA transactivation on the promoters of the ZTA, BMRF1, and BMLF1 genes. EA-D alleviated the PARylation of RTA and further enhanced RTA-mediated transactivation of these lytic promoters in reporter assays. Taken together, our results suggest that EBV viral processivity factor plays a key role in facilitating lytic replication by inducing PARP1 degradation via its interaction with the PARP1 AD, which is a highly conserved mechanism among gammaherpesviruses to counteract host repressive activity of PARP1 against viral lytic replication. IMPORTANCE PARP1 acts as a negative regulator of lytic replication in EBV. To successfully enter the reactivation cycle, EBV has developed multiple strategies to counteract the host's repressive mechanisms. In this study, we investigated how EBV manipulated the host repressive factor PARP1 to facilitate lytic replication. The EBV processivity factor EA-D downregulated PARP1 in a proteasome-dependent manner via its direct binding with PARP1 AD. The knockdown of EA-D restored the PARP1 level and inhibited ZTA expression during reactivation. Interestingly, PARP1 PARylated RTA and EA-D reduced the PARylation of RTA, thereby promoting the ZTA promoter activity. These results suggest that EA-D plays a key role in EBV lytic replication by inducing PARP1 degradation in addition to supporting DNA replication as a viral processivity factor. Given that the KSHV processivity factor also induces PARP1 degradation and enhances RTA function, gammaherpesviruses share a conserved molecular mechanism to overcome the inhibitory effects of PARP1, promoting lytic replication.


Assuntos
Infecções por Vírus Epstein-Barr , Herpesvirus Humano 4 , Humanos , Fator D do Complemento/genética , Infecções por Vírus Epstein-Barr/genética , Regulação Viral da Expressão Gênica , Herpesvirus Humano 4/genética , Regiões Promotoras Genéticas , Replicação Viral/genética , Poli(ADP-Ribose) Polimerases/metabolismo
2.
PLoS Pathog ; 17(1): e1009261, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33508027

RESUMO

Kaposi's sarcoma-associated herpesvirus (KSHV), which belongs to the gammaherpesvirus subfamily, is associated with the pathogenesis of various tumors. Nuclear enzyme poly(ADP-ribose) polymerase 1 (PARP1) catalyzes the polymerization of ADP-ribose units on target proteins. In KSHV-infected cells, PARP1 inhibits replication and transcription activator (RTA), a molecular switch that initiates lytic replication, through direct interaction. Thus, for efficient replication, KSHV has to overcome the molecular barrier in the form of PARP1. Previously, we have demonstrated that KSHV downregulates the expression of PARP1 through PF-8, a viral processivity factor. PF-8 induces ubiquitin-proteasome system-mediated degradation of PARP1 via direct physical association and enhances RTA transactivation activity. Here, we showed that dimerization domains of PF-8 are crucial not only for PARP1 interaction and degradation but also for enhancement of the RTA transactivation activity. PF-8 recruited CHFR for the PARP1 degradation. A knockdown of CHFR attenuated the PF-8-induced PARP1 degradation and enhancement of the RTA transactivation activity, leading to reduced KSHV lytic replication. These findings reveal a mechanism by which KSHV PF-8 recruits a cellular E3 ligase to curtail the inhibitory effect of PARP1 on KSHV lytic replication.


Assuntos
Proteínas de Ciclo Celular/metabolismo , Herpesvirus Humano 8/genética , Proteínas Imediatamente Precoces/metabolismo , Proteínas de Neoplasias/metabolismo , Poli(ADP-Ribose) Polimerase-1/metabolismo , Proteínas de Ligação a Poli-ADP-Ribose/metabolismo , Complexo de Endopeptidases do Proteassoma/metabolismo , Transativadores/metabolismo , Ubiquitina-Proteína Ligases/metabolismo , Proteínas Virais/metabolismo , Proteínas de Ciclo Celular/genética , Dimerização , Regulação para Baixo , Herpesvirus Humano 8/fisiologia , Humanos , Proteínas Imediatamente Precoces/genética , Proteínas de Neoplasias/genética , Poli(ADP-Ribose) Polimerase-1/genética , Proteínas de Ligação a Poli-ADP-Ribose/genética , Domínios Proteicos , Proteólise , Transativadores/genética , Ubiquitina/metabolismo , Ubiquitina-Proteína Ligases/genética , Proteínas Virais/genética , Replicação Viral
3.
Sensors (Basel) ; 20(6)2020 Mar 13.
Artigo em Inglês | MEDLINE | ID: mdl-32183206

RESUMO

Soil water content is one of the most important physical indicators of landslide hazards. Therefore, quickly and non-destructively classifying soils and determining or predicting water content are essential tasks for the detection of landslide hazards. We investigated hyperspectral information in the visible and near-infrared regions (400-1000 nm) of 162 granite soil samples collected from Seoul (Republic of Korea). First, effective wavelengths were extracted from pre-processed spectral data using the successive projection algorithm to develop a classification model. A gray-level co-occurrence matrix was employed to extract textural variables, and a support vector machine was used to establish calibration models and the prediction model. The results show that an optimal correct classification rate of 89.8% could be achieved by combining data sets of effective wavelengths and texture features for modeling. Using the developed classification model, an artificial neural network (ANN) model for the prediction of soil water content was constructed. The input parameter was composed of Munsell soil color, area of reflectance (near-infrared), and dry unit weight. The accuracy in water content prediction of the developed ANN model was verified by a coefficient of determination and mean absolute percentage error of 0.91 and 10.1%, respectively.

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