Abstract:The human α/β hydrolase domain-containing protein 2 gene (ABHD2) plays a critical role in pulmonary emphysema, a major subset of the clinical entity known as chronic obstructive pulmonary disease (COPD). Here, we evaluated genetic variation in the ABHD2 gene in a Chinese Han population of 286 COPD patients and 326 control subjects. The rs12442260 CT/CC genotype was associated with COPD (P < 0.001) under a dominant model. In the former-smoker group, the rs12442260 TT genotype was associated with a decreased ris… Show more
“…ABHD2 participates in virus propagation and the modulation of the immune response, for which it was identified as a potential target of anti-hepatitis B drugs [75]. Interestingly, genetic variations in this gene have been associated with obstructive pulmonary disease in a Chinese Han population and age-related pulmonary emphysema in mice [76]. Moreover, the expression of ABHD2 was identified as a discriminating feature between smokers and non-smokers [77].…”
Motivation
The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has recently emerged as the responsible for the pandemic outbreak of the coronavirus disease (COVID-19). This virus is closely related to coronaviruses infecting bats and Malayan pangolins, species suspected to be an intermediate host in the passage to humans. Several genomic mutations affecting viral proteins have been identified, contributing to the understanding of the recent animal-to-human transmission. However, the capacity of SARS-CoV-2 to encode functional putative microRNAs (miRNAs) remains largely unexplored.
Results
We have used deep learning to discover 12 candidate stem-loop structures hidden in the viral protein-coding genome. Among the precursors, the expression of eight mature miRNAs-like sequences was confirmed in small RNA-seq data from SARS-CoV-2 infected human cells. Predicted miRNAs are likely to target a subset of human genes of which 109 are transcriptionally deregulated upon infection. Remarkably, 28 of those genes potentially targeted by SARS-CoV-2 miRNAs are down-regulated in infected human cells. Interestingly, most of them have been related to respiratory diseases and viral infection, including several afflictions previously associated with SARS-CoV-1 and SARS-CoV-2. The comparison of SARS-CoV-2 pre-miRNA sequences with those from bat and pangolin coronaviruses suggests that single nucleotide mutations could have helped its progenitors jumping inter-species boundaries, allowing the gain of novel mature miRNAs targeting human mRNAs. Our results suggest that the recent acquisition of novel miRNAs-like sequences in the SARS-CoV-2 genome may have contributed to modulate the transcriptional reprogramming of the new host upon infection.
“…ABHD2 participates in virus propagation and the modulation of the immune response, for which it was identified as a potential target of anti-hepatitis B drugs [75]. Interestingly, genetic variations in this gene have been associated with obstructive pulmonary disease in a Chinese Han population and age-related pulmonary emphysema in mice [76]. Moreover, the expression of ABHD2 was identified as a discriminating feature between smokers and non-smokers [77].…”
Motivation
The Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) has recently emerged as the responsible for the pandemic outbreak of the coronavirus disease (COVID-19). This virus is closely related to coronaviruses infecting bats and Malayan pangolins, species suspected to be an intermediate host in the passage to humans. Several genomic mutations affecting viral proteins have been identified, contributing to the understanding of the recent animal-to-human transmission. However, the capacity of SARS-CoV-2 to encode functional putative microRNAs (miRNAs) remains largely unexplored.
Results
We have used deep learning to discover 12 candidate stem-loop structures hidden in the viral protein-coding genome. Among the precursors, the expression of eight mature miRNAs-like sequences was confirmed in small RNA-seq data from SARS-CoV-2 infected human cells. Predicted miRNAs are likely to target a subset of human genes of which 109 are transcriptionally deregulated upon infection. Remarkably, 28 of those genes potentially targeted by SARS-CoV-2 miRNAs are down-regulated in infected human cells. Interestingly, most of them have been related to respiratory diseases and viral infection, including several afflictions previously associated with SARS-CoV-1 and SARS-CoV-2. The comparison of SARS-CoV-2 pre-miRNA sequences with those from bat and pangolin coronaviruses suggests that single nucleotide mutations could have helped its progenitors jumping inter-species boundaries, allowing the gain of novel mature miRNAs targeting human mRNAs. Our results suggest that the recent acquisition of novel miRNAs-like sequences in the SARS-CoV-2 genome may have contributed to modulate the transcriptional reprogramming of the new host upon infection.
“…The data regarding the number of exons were obtained from BioGPS, and the data regarding the relatively high expression in normal human tissues were primarily obtained from the BioGPS portal and the reported references. protein name molecular weight (kDa) aliases gene location in humans number of exons relatively high expression in normal human tissues (BioGPS) related function or role in disease ABHD1 45 LABH1 2p23.3 9 testis, sperm saphenous related to oxidative stress in mouse and rat models [ 29 – 32 ]; expression downregulation is driven by hepatic steatosis and insulin resistance induced by Notch signalling [ 33 ] ABHD2 48 HS1–2, LABH2, PHPS1–2 15q26.1 16 prostate, lung, NK cells, whole blood a glyceridase and ester hydrolase cleaving 2AG and leading to sperm hyperactivation in a progesterone-dependent manner [ 34 – 36 ]; an androgen-regulated gene promoting prostate cancer growth and resistance to chemotherapy [ 37 ]; essential for the reproduction of HBV [ 38 , 39 ]; involved in calcium transfer from the endoplasmic reticulum to mitochondria [ 40 ] and chronic obstructive pulmonary disease (COPD) in a Chinese Han population [ 41 ]; associated with anoikis resistance in ovarian cancer [ 7 ] and possibly associated with tumorigenesis in hepatocytes, stomach cells and colon cells [ 42 , 43 ] ABHD3 46 LABH3 18q11.2 12 colon, small intestine, whole blood a brain serine hydrolase related to the activation of the endocannabinoid system [ 44 ]; a lipase playing the role of...…”
Section: Research Progress Related To the Abhd Family Membersmentioning
confidence: 99%
“…ABHD2 was found to be a critical gene in chronic obstructive pulmonary disease (COPD) by evaluating the genetic variation in the ABHD2 gene among Han Chinese COPD patients and normal controls [ 41 ]. The analysis of the DNA methylation data of genes throughout the genome showed that COPD is associated with DNA methylation at the CpG sites of the ABHD16B gene [ 96 ].…”
Section: Research Progress Related To the Abhd Family Membersmentioning
confidence: 99%
“…rsob.royalsocietypublishing.org Open Biol. 8: 180017 [34 -36]; an androgenregulated gene promoting prostate cancer growth and resistance to chemotherapy [37]; essential for the reproduction of HBV [38,39]; involved in calcium transfer from the endoplasmic reticulum to mitochondria [40] and chronic obstructive pulmonary disease (COPD) in a Chinese Han population [41]; associated with anoikis resistance in ovarian cancer [7] and possibly associated with tumorigenesis in hepatocytes, stomach cells and colon cells [42,43] ABHD3 46 LABH3 18q11.2 12 colon, small intestine, whole blood a brain serine hydrolase related to the activation of the endocannabinoid system [44]; a lipase playing the role of a physiological regulator in the metabolism of medium-chain phospholipids [45]; possibly influences innate immunity by transcription factor T-bet [46] ABHD4 39 ABH4 14q11.2 8 adipocyte, testis functions in N-Acyl ethanolamine synthesis as a (lyso) N-acyl phosphatidylethanolamine-selective lipase [47,48]; a novel regulator of anoikis resistance [49] (Continued.) rsob.royalsocietypublishing.org Open Biol.…”
Section: A Regulator or Marker Of Certain Cancersmentioning
Abhydrolase domain containing 16A (ABHD16A) is a member of the α/β hydrolase domain-containing (ABHD) protein family and is expressed in a variety of animal cells. Studies have shown that ABHD16A has acylglycerol lipase and phosphatidylserine lipase activities. Its gene location in the main histocompatibility complex (MHC) III gene cluster suggests that this protein may participate in the immunomodulation of the body. The results of studies investigating nearly 20 species of ABHDs reveal that the ABHD proteins are key factors in metabolic regulation and disease occurrence and development. In this paper, we summarize the related progress regarding the function of ABHD16A and other ABHD proteins. A prediction of the active sites and structural domains of ABHD16A and an analysis of the amino acid sites are included. Moreover, we analysed the amino acid sequences of the ABHD16A molecules in different species and provide an overview of the related functions and diseases associated with these proteins. The functions and diseases related to ABHD are systematically summarized and highlighted. Future research directions for studies investigating the functions and mechanisms of these proteins are also suggested. Further studies investigating the function of ABHD proteins may further confirm their positions as important determinants of lipid metabolism and related diseases.
“…Through wavelet coherence analysis, [ 14 ] examines Bitcoin price formation and the main drivers of price. The study shows that factors such as “use in trade, money supply and price level” have an impact on long term price.…”
Bitcoin, the first electronic payment system, is becoming a popular currency. We provide a statistical analysis of the log-returns of the exchange rate of Bitcoin versus the United States Dollar. Fifteen of the most popular parametric distributions in finance are fitted to the log-returns. The generalized hyperbolic distribution is shown to give the best fit. Predictions are given for future values of the exchange rate.
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