Literature DB >> 27936183

Molecular Evolution of PTEN Pseudogenes in Mammals.

Jingsi Tang1, Ruihong Ning1, Bo Zeng1, Ying Li1.   

Abstract

Phosphatase and tensin homolog (PTEN) is a tumor-suppressor gene. PTEN pseudogene (PTENp) acts as an endogenous RNA, which regulates its parental gene by competitively binding to the 3' UTR of PTEN gene in the human. Despite the importance of this pseudogene, little is known about the molecular evolution of PTENp in mammals. In this study, we identified 37 pseudogenes from 65 mammalian genomes. Among them, 32 were from rodents or primates. Phylogenetic analyse showed a complex evolutionary history of this gene family. Some PTENps were shared both in primates and rodents. However, some PTENps were shown to be species-specific, such as the tasmanian devil PTENp1, nine banded armadillo PTENp1 and gibbon PTENp1. Most interestingly, the naked mole rat (NMR), an anticancer model organism, possessed 17 copies of PTENps, which were classified into four clades based on the phylogenetic analyses. Furthermore, we found that all the 3'UTR of PTEN and PTENps shared common microRNA (MicroRNA) binding sites in NMR, based on our prediction of specific MicroRNA binding sites. Our findings suggested that multiple gene duplications have occurred in the formation of PTEN/PTENp gene family during the evolution of mammals. Some PTENps were relatively ancient and were shared by primates and rodents; others were newly originated through species- specific gene duplications. PTENps in NMR may function as competitive endogenous RNAs (ceRNAs) to regulate their counterpart genes by competing for common MicroRNAs, which may be one of the interpretations for the cancer resistance in NMR.

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Year:  2016        PMID: 27936183      PMCID: PMC5148010          DOI: 10.1371/journal.pone.0167851

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In 1977, Jacq et al found a truncated version of the 5S ribosome DNA in Xenopus laevis, which is homologous to the native gene, and this fragment of genomic sequences was first named Pseudogene[1]. Traditionally, pseudogenes were defined as the functionless relatives of protein-coding genes, mainly due to the presence of premature stop-codons or frame shifts, and have long been viewed as the non-functional genomic remnants during evolution[2]. Based on their formation mechanisms, pseudogenes can be classified into three categories, which are unitary pseudogenes, unprocessed pseudogenes, and processed pseudogenes. Unitary pseudogenes, previously referred to those functionless genes, originated from functional genes by various mutations. Unprocessed pseudogenes are derived directly from duplications of DNA sequences, with their original intron-exon structures and promoter elements having been maintained. Processed pseudogenes are formed by retrotransposition of mRNA transcripts. Introns and other regulatory elements such as enhancers and promoter elements have been lost during the process of pseudogenization. It is proposed that messenger RNA, transcribed pseudogenes, and long non-coding RNAs can crosstalk by competing for common MicroRNAs[3,4]. These RNA transcripts were termed as competitive endogenous RNAs (ceRNAs).The activity of ceRNAs forms a large-scale regulatory network across the transcriptome. More and more experimental evidences, such as PTEN-PTENP1[5], TUSC2-TUSC2P[6], HMGA1-HMGA1Ps[7], CYP4Z1-CYP4Z2P[8] and BRAF-BRAFP1[9], support the ceRNA regulation hypothesis. For example, PTEN negatively regulates intracellular levels of phosphatidylinositol-3,4,5-trisphosphate in cells and acts as a tumor suppressor by negatively regulating Akt/PKB signalling pathway[10].The PTEN pseudogene (PTENp1) is a processed pseudogene, which shows high sequence similarity with PTEN in human. The binding sites of the MicroRNAs, including miR-20a, miR-19b, miR-21, miR-26a and miR-214, are highly homologous in the 3’UTR of PTEN and PTENp1, and those MicroRNAs are able to regulate the translation of PTEN in humans[5]. PTENp1 can thus regulate PTEN by competitively binding to these MicroRNAs, and serving as decoy for PTEN-related MicroRNAs. Furthermore, decreasing of the copy number of PTENp1 was observed insporadic colon cancer, which was correlated with a decrease of PTEN, thus leading to the proposal that PTENp1 is a bona fide tumour suppressor gene[5]. In addition, Johnsson et al. reported that PTENp1-expressed transcripts can also actasantisense RNAs (asRNAs) to regulate PTEN expression at both transcriptional and post-transcriptional levels[11]. PTENp1 encoded two asRNA isoforms: PTENp1 asRNA alpha and beta. The alpha isoform acts as a negative regulator for transcription of PTEN. Because of the sequence homology, PTENp1 asRNA alpha recruits the DNA methyltransferase 3a (DNMT3a) and Enhancer of Zeste Homolog 2 (EZH2) to the PTEN promoter, resulting in PTEN transcription suppressed by the formation of H3K27me3. In contrast, the beta isoform forms RNA-RNA interactions with PTENp1 sense transcript. This RNA-RNA interaction stabilizes PTENp1 sense, consequently affecting MicroRNA sequestration and ultimately PTEN protein level. Except for PTENp1, some other pseudogenes were reported to perform as ceRNAs. The tumour suppressor candidate-2 gene pseudogene (TUSC2P) can talk with the TUSC2 gene through MicroRNA response elements (MREs), as well as PTEN-PTENP1. The3’UTR of TUSC2P captures these TUSC2-targeting MicroRNAs, which increases the translation of TUSC2 and then inhibits cell proliferation[6]. In addition, Esposito and co-workers found seven pseudogenes homologous to the high mobility group AT-hook 1 (HMGA1) gene, which is associated with insulin resistance and carcinogenesis[7]. Two of them, the HMGA1P6 and HMGA1P7, showed high sequence similarity with each other and conserved MRE with the parental gene. HMGA1P6 and HMGA1P7 also act as ceRNAs by competitively binding to MicroRNAs with the HMGA1, regulating the expression of HMGA1 and accordingly increasing proliferation and cell migration[7]. Florian et al. discovered that BRAFP1 functions as a ceRNA of BRAF in humans and mice, competing for miR-134, miR-543, miR-653, miR-30a, miR-182 and miR-876[9]. Most interestingly, the effect of over-expression of the 3’UTR of BRAFP1was more significant than over-expression of its CDS on the parental gene expression and proliferation[9]. Overall, these findings suggest that 3’UTRs from both pseudogenes and coding genes may possess powerful biological activity through their ability to act as endogenous decoys for MicroRNAs. Despite the importance of those functional pseudogenes, their evolutionary histories were largely unknown. In this study, we investigated the molecular evolution of PTEN/PTENp gene family in mammals. By searching the available mammalian genome sequences, we found 37 pseudogenes from 65 mammalian genomes. Most intriguingly, we identified 17 copies of PTENps from naked mole rat (NMR), an anticancer model organism, and found that all of these genes shared common MicroRNA binding sites with their PTEN gene, suggesting that the PTENps in NMR may be functional in regulating their cognate genes by competing for MicroRNA binding sites, just as that found in the humans.

Materials and Methods

Our animal experiment was approved by the Institutional Animal Care and Use Committee of the Sichuan Agricultural University under permit number DKY- B20150301

Sequences obtain

The PTEN mRNA sequences from 65 mammals were downloaded from National Centre for Biotechnology Information (NCBI) GenBank, and their PTENps were identified by BLAST, the reference genomic sequences database, using PTEN mRNA as query. All potential pseudogenes meet at least one of the following three criterions:1. incomplete open reading frame (ORF), 2. frame-shifts and 3. premature stop codons. All were labelled as pseudogenes in GenBank.

Phylogenetic analyses

As different regions of a gene play different roles and are, apparently, subjected to different stringencies of functional constraints, it has been customary to treat different regions separately. In contrast to the coding regions of genes, the rates in non-coding regions are usually higher. Furthermore, most of them vary greatly in the length of these noncoding regions. For example, the length of 3’UTR of PTEN/PTENps in primates are largerat1000bp, but in most of other species are less than 1000bp.This variation makes the phylogenetic analyses using noncoding regions very difficult.Therefore, in this study, we only compared the evolutionary rate of CDS of PTEN/PTENps. The CDS region of PTEN and PTENp sequences of mammals were aligned using ClustalW in BioEdit[12] followed by manual adjustments. Maximum Likelihood (ML), Maximum Parsimony (MP) and Neighbour Joining (NJ) phylogenetic trees were conducted by using MEGA6.0[13]. Fourteen sequences out of 102 identified PTENs and PTENps were removed in the phylogeny analyses because of too many ambiguous bases, long gaps or the incompleteness of the sequences. The removed sequences were degu PTENp1, NMRPTENp12, NMR PTENp15, NMR PTENp16, horse PTEN,orangutanPTENp1and chimpanzee PTENp1 (these sequences contained ambiguous bases); cattle PTEN, duckbill platypus PTEN, domestic water buffalo PTEN, southern American pikaPTEN and orguinea pig PTENp1 (these sequences showed big gaps); guinea pig PTEN and European domestic ferret PTEN (these sequences were incomplete). And then the coding regions of 88 sequences were used for phylogenetic tree construction. In addition, a dataset contains 67 sequences from Primate, Rodents, Even-toed ungulates, Carnivores, Cingulata and Dasyuromorphia, where both PTEN and PTENps were identified, was also used to construct phylogenetic trees. Kimura 2-parameter method[14] were used to infer NJ tree implemented in the program MEGA6.0. For ML tree, Tamura 3-parameter model with a discrete gamma distribution was used as suggested by MEGA6.0. Default settings in MEGA6.0 were used in reconstructing the MP tree. For ML, MP and NJ methods, 1000 bootstrap replications were conducted to evaluate the reliabilities of the reconstructed trees.

MicroRNAs binding sites Prediction

MicroRNA binding sites of the 3’UTR of PTENs and PTENps were predicted by PITA algorithm[15]. Five MicroRNAs (mir-19b, mir-20a, mir-21, mir-26a, mir-214),which can competitively bind with PTEN and PTENp1 in human[5], were downloaded from miRBase database[16]. Then the specific MicroRNAs and 3’ UTR of PTENs or PTENps were uploaded to the Online microRNA prediction tool to predict MicroRNA binding sites[15]. Minimum seed size is set to 6 and other parameters were as default settings. ΔΔG is an energetic score, the lower (more negative) its value, the stronger the binding of the MicroRNA to the given site is expected. We first calculated the ΔΔG values for the known binding pairs of MicroRNA and the corresponding binding sites in the humans, and then conservatively set the lowest value-3.8 as our cut-off value in this study.

Results

Pseudogene Sequences

In total, we found 65 functional genes and 37 pseudogenes from 65 genomes of mammals by BLAST using PTEN mRNA as query (S1 and S2 Tables). We found that 17 out of 65 species possess one or more copies of PTENps. Among them, 32 out of 37 pseudogenes identified in this study were from primates and rodents. We identified 9 species each possessed one PTENp in primate. Interestingly, these PTENps only existed in old world monkeys and hominoids. Five species of rodents were found to possess PTENps. And most excitingly, 17 copies of PTENps in NMR were identified (Table 1). In addition, one copy of PTENp was found in the nine banded armadillo and Tasmanian devil. Three copies of PTENps were found in the pig.
Table 1

The number of PTENs and PTENps in mammals.

OrderCommon nameScientific nameNo. of PTENNo. of PTENp
PrimatesHumanHomo sapiens11
ChimpanzeePan troglodytes11
Pygmy chimpanzeePan paniscus11
OrangutanPongo abelii11
GorillaGorilla gorilla gorilla11
Crab-eating macaqueMacaca fascicularis11
Rhesus macaqueMacaca mulatta11
BaboonPapio anubis11
Green monkeyChlorocebus sabaeus1NO
MarmosetCallithrix jacchus1NO
Squirrel monkeySaimiri boliviensis boliviensis1NO
GibbonNomascus leucogenys11
Bush babyOtolemur garnettii1NO
RodentsMouseMus musculus1NO
RatRattus norvegicus1NO
Naked mole ratHeterocephalus glaber117
Blind mole ratNannospalax galili11
Golden hamsterMesocricetus auratus1NO
Chinese hamsterCricetulus griseus1NO
Prairie voleMicrotus ochrogaster1NO
Prairie deer mousePeromyscus maniculatus bairdii1NO
Guinea pigCavia porcellus11
Lesser egyptian jerboaJaculus jaculus1NO
DeguOctodon degus13
Long-tailed chinchillaChinchilla lanigera11
Thirteen-lined ground squirrelSpermophilus tridecemlineatus1NO
Even-toed ungulatesBovineBos taurus1NO
Wild yakBos mutus1NO
GoatCapra hircus1NO
SheepOvis aries1NO
ChiruPantholops hodgsonii1NO
Domestic water buffaloBubalus bubalis1NO
Killer whaleOrcinus orca1NO
Sperm whalePhyseter catodon1NO
North Pacific minke whaleBalaenoptera acutorostrata scammoni1NO
PigSus scrofa13
AlpacaVicugna pacos1NO
Wild bactrian camelCamelus ferus1NO
CarnivoresEuropean domestic ferretMustela putorius furo1NO
DogCanis lupus familiaris1NO
CatFelis catus1NO
Siberian tigerPanthera tigris altaica1NO
Weddell sealLeptonychotes weddellii1NO
Pacific walrusOdobenus rosmarus divergens1NO
Giant pandaAiluropoda melanoleuca1NO
BatsBrandt's batMyotis brandtii1NO
David's myotisMyotis davidii1NO
Little brown batMyotis lucifugus1NO
Black flying foxPteropus alecto1NO
Odd-toed ungulatesHorseEquus caballus1NO
Southern white rhinocerosCeratotherium simum simum1NO
InsectivoresEurasian common shrewSorex araneus1NO
Star-nosed moleCondylura cristata1NO
Cape golden moleChrysochloris asiatica1NO
Cape long-eared elephant shrewElephantulus edwardii1NO
Lesser hedgehog tenrecEchinops telfairi1NO
Rabbits & HaresSouthern American pikaOchotona princeps1NO
RabbitOryctolagus cuniculus1NO
Tree shrewChinese tree shrewTupaia chinensis1NO
SireniaFlorida manateeTrichechus manatus latirostris1NO
CingulataNine-banded armadilloDasypus novemcinctus11
ProboscideaAfrican elephantLoxodonta africana1NO
DasyuromorphiaTasmanian devilSarcophilus harrisii11
DidelphimorphiaGray short-tailed opossumMonodelphis domestica1NO
MonotremesDuckbill platypusOrnithorhynchus anatinus1NO
To explore the evolutionary relationships of these PTENps and PTEN genes in mammals, we constructed the phylogenetic trees based on the coding region of 88 sequences using the Neighbour joining (NJ)[17](S1 Fig), Maximum parsimony (MP)[18](S2 Fig) and Maximum Likelihood (ML) methods (S3 Fig) separately. To make the result more clear, we removed sequences from those orders where no PTEN pseudogene was found. Based on the coding region of the remaining 67 sequences, we constructed the NJ (Fig 1), MP (S4 Fig) and ML tree (S5 Fig). All trees showed overall similar topology. In these trees, PTENps were dispersed into several clades rather than forming one clade, suggesting that multiple gene duplications have occurred during the evolution of PTEN/PTENp gene family (Fig 1 and S1–S5 Figs). As showed in Fig 1, some PTENps existed for a relatively long time such as clade 1, which was shared by the NMR and the pig; and clade 9,which was shared by species from primates and rodents. In addition, the two clades showed longer branch lengths compared to other clades of PTENps, which indicated that PTENps of the two clades were relatively old. However, some PTENps were relatively young. For example, clade 2, clade 4 and clade 6 displayed a species-specific evolutionary pattern, in which PTENp clustered with its cognate gene, suggesting these PTENps emerged after the divergences of these species from their sister groups. What’s more, we found that the branch lengths of PTENps were longer than that of the PTEN, suggesting faster evolutionary rate of CDS of PTENps than the PTENs in mammals (Fig 1). PTENps in NMR were divided into four clades in the phylogenetic tree. Clade 1 includes PTENp17, PTENp8 and PTENp4. Clade 7 contains only PTENp9. Clade 8 includes PTENp1, PTENp2, PTENp3, PTENp5, PTENp6 and PTENp7. Clade 9 includes PTENp10, PTENp11, PTENp13 and PTENp14.PTENps in clade 8 were NMR specific with shorter branch lengths, suggesting that these genes appeared recently.
Fig 1

The Neighbour Joining tree of 67 PTENs and PTENps in mammals.

All bootstrap values were showed. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances.Clade 1 to clade 9 were tagged by red square.

The Neighbour Joining tree of 67 PTENs and PTENps in mammals.

All bootstrap values were showed. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances.Clade 1 to clade 9 were tagged by red square.

MicroRNA binding sites prediction

To investigate whether 3’UTR of these PTENps could potentially bind to specific MicroRNAs just like in the human, we used the PITA algorithm to predict the binding sties of specific MicroRNAs on 3'UTR of PTENps. We chose the PITA for MicroRNA target prediction because it has high prediction accuracy and low false positive rate, since it pays more attention to the accessibility but not the conservation of the target sequences[15,19]. It was evidenced that 5 MicroRNAs (mir-19b, mir-20a, mir-21, mir-26a, mir-214) could bind to the 3'UTR of PTEN and PTENp1, and thus act as MicroRNA sponges to protect their parent gene from MicroRNA disturbancein the human[5]. In this study, we predicted the binding sites of these five MicroRNAs in 3’UTR of PTEN and PTENps identified in this study (S3 and S4 Tables). Interestingly, we found that the 3’UTR of PTENp and PTEN shared MicroRNAs bind sites in most cases, except for the PTENp1 in the blind mole rat (BMR), in which no shared binding site was found. This result suggested that MicroRNAs were potentially able to bind to the 3' UTR of both PTENps and their cognate PTENs. Most importantly, mir-19b existed in all of 3’UTR of PTENps and PTEN of NMR (Table 2). In addition, the NMR had eight copies of PTENps shared three different kinds of MicroRNAs, and four copies of PTENps shared two sorts of MicroRNAs. MicroRNA binding sites identified in this study are illustrated in Fig 2.
Table 2

The shared specific miRNAs of PTENs and PTENps 3'UTR.

Name of PTENName of PesudogenePTEN and PTENp 3’UTR shared miRNAs
Human PTENHuman PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Chimpanzee PTENChimpanzee PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Pygmy chimpanzee PTENPygmy chimpanzee PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Gorilla PTENGorilla PTENp1miR-19b,miR-26a
Baboon PTENBaboon PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Rhesus macaque PTNERhesus macaque PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Crab eating macaque PTENCrab eating macaque PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Gibbon PTENGibbon PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Blind mole rat PTENBlind mole rat PTENp1no shared miRNA
Naked mole rat PTENNaked mole rat PTENp1miR-20a,miR-19b,miR-26a
Naked mole rat PTENp2miR-20a,miR-19b,miR-26a
Naked mole rat PTENp3miR-20a,miR-19b,miR-26a
Naked mole rat PTENp4miR-20a,miR-19b
Naked mole rat PTENp5miR-20a,miR-19b,miR-26a
Naked mole rat PTENp6miR-20a,miR-19b,miR-26a
Naked mole rat PTENp7miR-20a,miR-19b,miR-26a
Naked mole rat PTENp8miR-20a,miR-19b,miR-26a
Naked mole rat PTENp9miR-20a,miR-19b,miR-26a
Naked mole rat PTENp10miR-20a,miR-19b
Naked mole rat PTENp11miR-19b
Naked mole rat PTENp13miR-20a,miR-19b
Naked mole rat PTENp14miR-19b
Naked mole rat PTENp17miR-20a,miR-19b
Long tailed chinchilla PTENLong tailed chinchilla PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Pig PTENPig PTENp1miR-20a,miR-19b
Pig PTENp2miR-20a,miR-19b
Pig PTENp3miR-20a,miR-19b,miR-26a
Tasmanian devil PTENTasmanian devil PTENp1miR-20a,miR-21,miR-19b,miR-26a
Nine banded armadillo PTENNine banded armadillo PTENp1miR-20a,miR-21,miR-214,miR-19b,miR-26a
Fig 2

Shared MicroRNAs binding sites of the 3’UTR of PTEN and PTENps in NMR.

The green triangle represents the mir-19b binding site, the yellow diamond represents the mir-26a binding site, and the blue rectangle represents the mir-20a binding site.

Shared MicroRNAs binding sites of the 3’UTR of PTEN and PTENps in NMR.

The green triangle represents the mir-19b binding site, the yellow diamond represents the mir-26a binding site, and the blue rectangle represents the mir-20a binding site.

Discussion

In this study, we found that PTENps not only existed in the human, but also appeared in some species of primates, rodents, even-toed ungulates, carnivores, cingulata and dasyuromorphia, suggesting that PTENps emerged before the divergences of these mammalian orders. However, the majority of other mammals (48 out of 65 mammals) lacked the PTENp, which may be due to either the loss of PTENps during evolution, or the pseudogenziation of PTEN never took place in these species. Since no clade of PTENp genes was shared by all mammalian orders, providing no evidence supporting the origination of PTENp before divergence of mammals, it is not clear whether PTENps were lost in these 48 species. According to the sequences alignment, we observed that some PTENps are completely duplicated from their parental gene and some are partially duplicated, such as the NMR PTENp10, 11, 13 and 14. In addition, we found some PTENps showed species-specific evolutionary pattern, such as the Tasmanian devil PTENp1, nine banded armadillo PTENp1 and gibbon PTENp1.These results suggest that the mammalian PTENps were originated by multiple gene duplications, and experienced the so called ‘birth and death’ evolution[20]. Interestingly, 17 copies of PTENps were identified in NMR, which had a high resistance to tumours[21]. Our further MicroRNA binding site prediction results showed that some MicroRNAs can bind with both PTENs and PTENps in the NMR and other mammals (Table 2).And most excitingly, we found conserved binding sites for the mir-19b, mir-20a and mir-26a in the 3’UTR of most of the NMR PTENps and the PTEN. Thus, it is possible that the PTENps act as the ceRNAs to regulate the PTEN expression in the NMR as well as in the human. A recent study by Abegglen et al. proposed that multiple copies of TP53 genes in the elephant may help this large animal in resisting cancer[22]. Similarly, the multiple copies of PTENps in the NMR may also contribute to its unusual resistance to cancer. But further studies on the expression of PTENps and the interaction with miRNAs are needed to support this hypothesis. However, the BMR, which showed a striking resistance to cancer as well as the NMR[23], is different from the NMR in terms of the copy numbers of PTENps and the MicroRNA binding sites. First, we only found one PTENp in the BMR compared to17 copies of it in the NMR. Second, unlike in the NMR, no common MicroRNA binding sites were predicted in the 3’UTR of PTENp1 and its PTEN in BMR. This may indicate that the anticancer mechanism in the BMR is different from that of the NMR. However, the high cut-off value we set may lead to no shared MicroRNA binding sites was found in this study, and it was also possible that the gene-pseudogene crosstalk was mediated by different MicroRNAs in the two species. In addition, some other factors also showed differences between these two species. For example, Fang et al determined that BMR have evolved a cancer-resistance mechanism depending on heightened immunoinflammatory response via gene amplification within the interferon-β1 pathway[23]. But in another study, Tian et al suggested that NMRs had evolved a higher concentration of high-molecular-mass hyaluronan (HA) that restricted cell division when cells gathered closely resulting in cancer resistance[21]. Hence, it is possible that the multiple PTENps in NMR function as ceRNAs to regulate its cognate gene by competing for common MicroRNAs, may play an important role in anticancer. Keep in mind, this mechanism may not fit for BMR.

Conclusions

In conclusion, our findings established that the PTENps in mammals originated by multiple gene duplications and experienced the ‘birth and death’ evolution pattern. Some PTENps have existed for a long time whereas others have appeared recently. PTENps may function as ceRNAs to regulate their PTENs in mammals. Interestingly, the multiples of PTENps may compete for the common MicroRNA binding sites in the NMR as well as in the human, which may be responsible for the anticancer trait. These results provide a possible explanation for this anticancer model. However further experiments are needed to prove this hypothesis.

TheNeighbour Joining tree of 88 PTENs and PTENps in mammals.

All bootstrap values were showed. (EPS) Click here for additional data file.

The Maximum Parsimony tree of 88 PTENs and PTENps in mammals.

All bootstrap values were showed. (EPS) Click here for additional data file.

The Maximum Likelihood tree of 88 PTENs and PTENps in mammals.

All bootstrap values were showed. (EPS) Click here for additional data file.

The Maximum Parsimony tree of 67 PTENs and PTENps in mammals.

All bootstrap values were showed. (EPS) Click here for additional data file.

The Maximum Likelihood tree of 67 PTENs and PTENps in mammals.

All bootstrap values were showed. (EPS) Click here for additional data file.

The detail information about PTENs and PTENps in mammals.

(XLSX) Click here for additional data file.

The detail information about PTENps in mammals.

(XLSX) Click here for additional data file.

The name and sequence information of specific miRNAs.

(XLSX) Click here for additional data file.

The prediction miRNA binding sites of PTENs and PTENps 3'UTR in mammals by PITA (The cutoff value is ddG<-3.81).

(XLSX) Click here for additional data file.
  21 in total

1.  Coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs.

Authors:  Yvonne Tay; Lev Kats; Leonardo Salmena; Dror Weiss; Shen Mynn Tan; Ugo Ala; Florian Karreth; Laura Poliseno; Paolo Provero; Ferdinando Di Cunto; Judy Lieberman; Isidore Rigoutsos; Pier Paolo Pandolfi
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

2.  The role of site accessibility in microRNA target recognition.

Authors:  Michael Kertesz; Nicola Iovino; Ulrich Unnerstall; Ulrike Gaul; Eran Segal
Journal:  Nat Genet       Date:  2007-09-23       Impact factor: 38.330

3.  MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

Authors:  Koichiro Tamura; Glen Stecher; Daniel Peterson; Alan Filipski; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2013-10-16       Impact factor: 16.240

Review 4.  Genetic alterations in the phosphatidylinositol-3 kinase/Akt pathway in thyroid cancer.

Authors:  Mingzhao Xing
Journal:  Thyroid       Date:  2010-07       Impact factor: 6.568

5.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

6.  Genome-wide adaptive complexes to underground stresses in blind mole rats Spalax.

Authors:  Xiaodong Fang; Eviatar Nevo; Lijuan Han; Erez Y Levanon; Jing Zhao; Aaron Avivi; Denis Larkin; Xuanting Jiang; Sergey Feranchuk; Yabing Zhu; Alla Fishman; Yue Feng; Noa Sher; Zhiqiang Xiong; Thomas Hankeln; Zhiyong Huang; Vera Gorbunova; Lu Zhang; Wei Zhao; Derek E Wildman; Yingqi Xiong; Andrei Gudkov; Qiumei Zheng; Gideon Rechavi; Sanyang Liu; Lily Bazak; Jie Chen; Binyamin A Knisbacher; Yao Lu; Imad Shams; Krzysztof Gajda; Marta Farré; Jaebum Kim; Harris A Lewin; Jian Ma; Mark Band; Anne Bicker; Angela Kranz; Tobias Mattheus; Hanno Schmidt; Andrei Seluanov; Jorge Azpurua; Michael R McGowen; Eshel Ben Jacob; Kexin Li; Shaoliang Peng; Xiaoqian Zhu; Xiangke Liao; Shuaicheng Li; Anders Krogh; Xin Zhou; Leonid Brodsky; Jun Wang
Journal:  Nat Commun       Date:  2014-06-03       Impact factor: 14.919

7.  The pseudogene TUSC2P promotes TUSC2 function by binding multiple microRNAs.

Authors:  Zina Jeyapalan Rutnam; William W Du; Weining Yang; Xiangling Yang; Burton B Yang
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

8.  HMGA1 pseudogenes as candidate proto-oncogenic competitive endogenous RNAs.

Authors:  Francesco Esposito; Marco De Martino; Maria Grazia Petti; Floriana Forzati; Mara Tornincasa; Antonella Federico; Claudio Arra; Giovanna Maria Pierantoni; Alfredo Fusco
Journal:  Oncotarget       Date:  2014-09-30

9.  High-molecular-mass hyaluronan mediates the cancer resistance of the naked mole rat.

Authors:  Xiao Tian; Jorge Azpurua; Christopher Hine; Amita Vaidya; Max Myakishev-Rempel; Julia Ablaeva; Zhiyong Mao; Eviatar Nevo; Vera Gorbunova; Andrei Seluanov
Journal:  Nature       Date:  2013-06-19       Impact factor: 49.962

10.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

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  13 in total

1.  [Role of lncRNA PTENP1 in tumorigenesis and progression of bladder cancer and the molecular mechanism].

Authors:  Gan Yu; Zheng-Yue Ou; Qi-Ye Tao; Guo-Yue Wan; Zong-Hao Lu; Bin Lang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-11-20

2.  Pseudogenes: Four Decades of Discovery.

Authors:  Leonardo Salmena
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Cytoplasmic functions of long noncoding RNAs.

Authors:  Ji Heon Noh; Kyoung Mi Kim; Waverly G McClusky; Kotb Abdelmohsen; Myriam Gorospe
Journal:  Wiley Interdiscip Rev RNA       Date:  2018-03-08       Impact factor: 9.957

4.  miR-192 Is Overexpressed and Promotes Cell Proliferation in Prostate Cancer.

Authors:  Zhong-Jun Chen; You-Ji Yan; Hao Shen; Jia-Jie Zhou; Guang-Hua Yang; Yi-Xiang Liao; Jin-Min Zeng; Tao Yang
Journal:  Med Princ Pract       Date:  2018-12-13       Impact factor: 1.927

Review 5.  The use of non-traditional models in the study of cancer resistance-the case of the naked mole rat.

Authors:  Alyssa Shepard; Joseph L Kissil
Journal:  Oncogene       Date:  2020-06-13       Impact factor: 9.867

6.  Studying the Oncosuppressive Functions of PTENP1 as a ceRNA.

Authors:  Glena Travis; Nahal Haddadi; Ann M Simpson; Deborah J Marsh; Eileen M McGowan; Najah T Nassif
Journal:  Methods Mol Biol       Date:  2021

Review 7.  A mechanistic view of long noncoding RNAs in cancer.

Authors:  Lauren Winkler; Nadya Dimitrova
Journal:  Wiley Interdiscip Rev RNA       Date:  2021-10-19       Impact factor: 9.349

8.  Apoptosis-induced effects of extract from Artemisia annua Linné by modulating PTEN/p53/PDK1/Akt/ signal pathways through PTEN/p53-independent manner in HCT116 colon cancer cells.

Authors:  Eun Ji Kim; Guen Tae Kim; Bo Min Kim; Eun Gyeong Lim; Sang-Yong Kim; Young Min Kim
Journal:  BMC Complement Altern Med       Date:  2017-04-28       Impact factor: 3.659

Review 9.  PTEN/PTENP1: 'Regulating the regulator of RTK-dependent PI3K/Akt signalling', new targets for cancer therapy.

Authors:  Nahal Haddadi; Yiguang Lin; Glena Travis; Ann M Simpson; Najah T Nassif; Eileen M McGowan
Journal:  Mol Cancer       Date:  2018-02-19       Impact factor: 27.401

10.  Pseudogenes Provide Evolutionary Evidence for the Competitive Endogenous RNA Hypothesis.

Authors:  Cian Glenfield; Aoife McLysaght
Journal:  Mol Biol Evol       Date:  2018-12-01       Impact factor: 16.240

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