Skip to main content

Advertisement

  • Review
  • Open Access

Biogenesis and biological implications of isomiRs in mammals- a review

ExRNA20191:3

https://doi.org/10.1186/s41544-018-0003-8

  • Received: 19 April 2017
  • Accepted: 27 December 2018
  • Published:

Abstract

Background

IsomiRs, the sequence-variants of microRNA (miRNA), are characterized by variation at the 3′- and/or 5′-end(s) of canonical miRNA-sequence as a result of nucleotide addition or deletion or substitution. These sequence alterations could be created either due to imprecise cleavage of miRNA sequence by drosha or dicer enzymes or through the addition of nucleotides at 3′ end during miRNA-biogenesis.

Main body

The present review elaborates the biogenesis vis-à-vis role of isomiRs in disease-related traits in human and animals. The differential expression of isomiRs has been detected in the early and late developmental phases during embryogenesis in fruit fly and halibut (Hippoglossus hippoglossus). Multidimentional role of isomiRs viz. in gene regulation, evolution, RNA interference pathway and differentiation of tumorous cells etc. has attracted researchers to explore the biological significance of isomiRs in different species. Biocomputational identification of isomiRs using suitable online software/tools (miR-isomiRExp, miRPro, isomiRBank, isomiR-SEA etc) has been followed by empirical validation and pathway analyses.

Conclusion

IsomiRs have been associated with various disease–pathways and thus could be used as promising disease-related markers in humans and livestock. In addition, the involvement of isomiRs in cancer and other diseases has been the major topic of interest due to the involvement of different biogenesis pathways.

Keywords

  • IsomiR
  • Disease-marker
  • Livestock
  • miRNA
  • Biological pathways

Background

MicroRNAs constitute a family of small non-coding RNA molecules (of 20–25 nucleotides length) that do not code for protein. Most of them are present in the introns while some exist in the exons of a gene. They play a major role in gene expression regulation and RNA silencing. The dysregulation of any miRNA may be associated with diseases like cancer or heart disease. Similarly, the isomiRs that are defined as the variants of miRNA sequence could have evolved through various cellular processes. The sequence variation in the isomiRs arises through different processes including addition or deletion etc. in the canonical miRNA sequence. In this review, we will discuss isomiRs, their biogenesis, functional involvement in various diseases and some databases that can be used for their prediction.

MicroRNA

MicroRNAs (miRNAs) are the post-transcriptional regulators of gene expression in most of the eukaryotic cells. These miniature RNAs belong to a family of small (~ 20–22 nucleotides in length) non-coding RNA-molecules that are expressed in wide range of organisms including plants, animals, and worms [1]. The miRNA-mediated RNA-interference was first discovered in 1993 by Ambros and coworkers while working on lin-4 gene involved in larval development of Caenorhabditis elegans (C. elegans) [2, 3]. The expression of about 30% of the protein-coding genes [47] is regulated by these non-coding RNA sequences through binding to the 3′-untranslated regions (3’-UTR) of specific mRNAs.

Over a thousand of miRNA-encoding genes are present in the human genome [8], which are directly or indirectly associated with more than 30% of the protein coding genes [9, 10]. The miRNAs precursors are not found within the coding regions of transcripts or the corresponding antisense strand, instead, they are present in clusters within intergenic regions and introns of protein-coding genes with some exceptions such as hsa-miR-935, hsa-miR-302 [11]. The biosynthesis of miRNAs differs in plants and animals. In plants, the entire process of biogenesis of primary-miRNA (pri-miRNA) to mature miRNA occurs in the nucleus by RNase III enzyme DCL1 (Dicer-like 1). While in animals, the process occurs in the cytoplasm as well as in nucleus by two different enzymes: Drosha/Pasha in nucleus and Dicer in the cytoplasm [3, 12]. A vast array of miRNA-repertoire has been identified and reported in different animal and plant species. Recently, in our laboratory, we have identified novel bubaline-miRNAs (using small RNA sequencing and analysis) [1315] and also by biocomputational analysis of whole genome shotgun sequences [16]. It has also been reported that target genes of differentially expressed miRNAs (from healthy as well as diseased individuals) can have a critical role in innate immunity and TLR (Toll like receptors) signaling pathways [14]. An array of isomiRs is the isoforms of a miRNA indicating that these might be functionally important. The present review aims at elaborating the biogenesis and features of isomiRs, and their roles in biological processes, with special emphasis on diseases in animals.

IsomiRs

A single miRNA could differ by a small number of base changes (due to insertion/deletion or substitution) at the 5′ or 3′ termini, resulting in the formation of isomers of specific miRNA, termed as 5′ or 3′ isomiRs, respectively [17]. Thus, isomiRs are derived by imprecise cleavage or any change in processing of mature miRNA from primary transcripts by Drosha and Dicer enzymes and nucleotide addition at 3′ end [18]. IsomiRs can also be generated through RNA editing and single nucleotide polymorphisms (SNPs) from the canonical (any molecular sequence that represents the consensus sequence of that particular molecule) miRNA sequence [18, 19].

Prior to proceeding further on isomiRs, it is necessary to discuss in brief about the nomenclature of miRNAs and isomiRs and their features. There are different ways of writing the names of miRNAs based on the nomenclature. For example- “MIR” refers to the gene that encodes miRNA, “miR” refers to the mature form of miRNA and “mir” refers to the pre-miRNA and the pri-miRNA [20]. Similarly, there are various terms used for isomiRs on basis of their appearance and for analysis purpose. Table 1 adumbrates some of these terminologies that pertain to isomiRs (Table source: https://bioinfo2.ugr.es/miRanalyzer/miRanalyzer_tutorial.html).
Table 1

Terminologies related to isomiRs

S.No

IsomiR name

Description*

1

5′ isomiR

Base change (deletion or addition) at 5′ terminus

2

3′ isomiR

Base change (deletion or addition) at 3′ terminus

3

RC

Read count (used for NGS read counts after sequencing transcriptome or sRNA)

4

UR

Unique reads of a particular miRNA or isomiR or transcript

5

3SNE

Single nucleotide extension in 3′ end

6

3MNE

Multiple nucleotide extension in 3′ end

7

3Trim

the read is shorter than the reference mature sequence but it starts at the same position in the hairpin

8

5MNE

Multiple nucleotide extension in 5′ end

9

5Trim

the read aligns to a position in the hairpin after the reference mature sequence BUT the last base of the read and the mature sequence map to the same position

10

Mature star

Less expressed arm of the pre-miRNA

11

Predom UR

the number of unique reads of the predominant mature microRNA sequence

12

Predom RC

the read count of the predominant mature microRNA sequence

13

Star RC

the read count of the predominant mature microRNA sequence

14

Star UR

the number of unique reads of the predominant mature microRNA sequence

15

IsoRC

IsomiR read count

16

Exact RC

the read count of perfectly mapped miRBase consensus sequences

17

3SNA

Single nucleotide addition in 3′

18

3 MNA

Multiple nucleotide addition in 3′

19

RPM

Reads per Millions

20

Other LV

The number of other length variants (those that have length variation in 5′ and 3′)

Biogenesis of isomiRs

IsomiRs are generated by post-transcriptional modifications of the corresponding miRNA sequence. isomiRs have diverse roles in animals, plants, and viruses. To understand the biology of isomiRs, it’s required to adumbrates the process of miRNA production in animals. miRNA biogenesis occurs through different steps in the cytoplasm and nucleus. The process starts in the nucleus where precursor miRNA (pre-miRNA) is transcribed from miRNA coding gene by RNA polII/III, which is then cleaved into shorter sequences by Drosha/DGCR8 complex to form primary-miRNA. The pre-miRNA is then exported from nucleus to cytoplasm by Exportin-5. Mature miRNA is formed from this precursor miRNA through miRNA/miRNA duplex formation. This precursor miRNA is also involved in the formation of isomiRs [21, 22]. Alternatively different pathways can also be involved that can alter the sequenceof canonical miRNA. Further, the isomiRs can be 5′-isomiRs or 3′-isomiRs (Fig. 1). It is evident that the ‘miRNA: miRNA duplex’ can form through complementary nucleotide base pairing of miR-5p and miR-3p generated from pre-miRNA [19].
Fig. 1
Fig. 1

Flow-diagram to demonstrate the biogenesis of miRNA and its variants (isomiRs) in normal adult cells of an animal (The sequence used here is arbitrary for explanation purpose only)

Based on variation in the canonical sequence, isomiRs can be template dependent or non-template dependent. In the template dependent, 5′ or 3′ nucleotide shifting occurs due to exoribonuclease, which ultimately results in the formation of isomiRs. On the other hand, in non-template dependent variation results in post-transcriptional RNA editing and tailing. Adenosine to Inosine (A to I) is commonly occurring RNA editing and diverse set of nucleotidyltransferases are responsible for post-transcriptional tailing. Both these events carry out the formation of isomiRs [23] (Fig. 2).
Fig. 2
Fig. 2

Different methods of generation of isomiRs from canonical miRNA. During miRNA biogenesis, the canonical miRNA can have template dependent and non-template dependent variations which result in synthesis of miRNA variants known as isomiRs

It has been consistently observed that the 5′-ends of the miRNAs are uniform that results in the formation of 5′-isomiRs due to different characterized 5′-ends. Thus, in comparison to miRNA with a single seed, the miRNA with 5′-isomiRs could have a significantly diverse target range and functional influence. These types of isomiRs have been recognized in many species including fruit fly (Drosophila melanogaster), mice (Mus musculus) and human [24]. The significance of 5′-isomiR expression on miRNA target repertoires was studied on vertebrate miR-142-3p by Manzano and coworkers [25]. They reported that 5′-isomiRs that differ from each other by 1 nucleotide can have highly divergent or convergent target ranges. Similarly, any variation in the 3′ end of miRNA can alter the stability and the efficiency of target repression of miRNA [26] (Fig. 2).

Evolutionary perspective of isomiRs

The evolutionary pattern of different miRNA families in divergent species can provide information on functional adaptations and associations in various species of plants and animals. Some of the researchers have provided information on the evolutionary perspective of isomiRs in different taxa. A recent study conducted in vivo on mammalian cells has shown that, Dicer can alternatively process these miRNAs to generate 5′-isomiRs. This alternative Dicer processing can be the result of the sliding bulge in the pre-miRNAs indicating that secondary structure of miRNAs can be responsible for the generation of 5′-isomiRs [27]. Tan and team [28] demonstrated through Northern blot analysis that a proportion of individual miRNA in human may vary spatially. Besides, the team also analyzed the isomiRs from miRBase and inferred that during evolution, canonical miRNAs have been replaced by 5′ isomiRs. This finding supports the hypothesis that isomiRs are the procreation of evolutionary relices of the miRNA genes. The expression profiles of miRNA and isomiRs can be regulated through arm selection (miRNAs may be derived from different arms) or arm switching (two arms usually exhibits dynamic expression patterns). It has been reported that two arms miR-3p and miR-5p contribute to different evolutionary/expression patterns of miRNA and isomiRs [29]. The structural regions within the miRNA (mature miRNA or seed loop) can be under evolutionary pressure. However, the miRNAs that are present within miRNA clusters (miRNA in close proximity of other miRNA) can share similar structures including seed sequences. Gene ontology and analysis of miRNA clusters can provide insight information regarding molecular functions of these clusters. However, evolutionary conservation of isomiRs warrants further in depth study and exploration [30].

Importance of isomiRs

IsomiRs act as potential regulatory molecules and are associated with repression of the target-mRNAs [31]. Several isomiRs are directly involved in post-transcriptional gene silencing, and could also affect the homologous miRNA itself. For example, the isomiRs may increase stability of miRNA and modify the effectiveness of miRNAs through RISC (RNA-induced silencing complex) during maturation process [32]. The small RNA (sRNA) deep-sequencing data showed that isomiRs are differentially expressed in developmental genes and tissues of fruit fly (Drosophila melanogaster). The addition of ‘A’ or ‘U’ at 3′ end of miRNA during early or late embryogenesis suggests that the stability of miRNA or miRNA: target interactions get strengthened. [33].

It has been reported that conserved target sites for isomiRs can be predicted by using biocomputational analysis. A study using immunoprecipitation showed that isomiRs can be incorporated into argonaute proteins and from the luciferase assay it has been observed that isomiRs are different from their canonical miRNA on a functional basis [34]. To study the features and regulatory targets of mature miRNAs, a comprehensive analysis was performed on Arabidopsis. The computational analysis revealed that isomiRs play a key role in gene regulation via terminal heterogeneity, which ultimately enhances the specificity of target gene silencing. The analysis of degradome data available in this experiment indicates the biological role of isomiRs in target cleavage. Further, the comparison of novel predicted and validated target genes with commonly targeted mRNA genes from Gene Ontology (GO) demonstrated that the validated targets are bound to isomiRs along with canonical miRNA [35]. IsomiRs have also been identified in human lymphoblastoid cell lines whose expression was population specific as well as gender-dependent. It has been reported that these isomiRs participate in RNA interference (RNAi) pathway through their association with Argonaute silencing complex [36].

Chan and colleagues [37] reported that not all, but some isomiRs may share common mRNA targets. They investigated isoforms of miR-31 (miR-31H, miR-31P and miR-31 M) that differ slightly at 5′ and 3′ ends. The study investigated concordant and discordant regulation, displayed by 6 known target genes (CEBPα, E2F2, STK40 etc) of isomiR-31. The results revealed that in cell-based systems, isomiRs exhibit similar and disparate regulation of target genes. Moderate level of isomiR expression has been observed between Dicer-independent miRNA and non-dominant miRNA, suggesting complex miRNA maturation process at isomiR level [38]. The study performed by Mercey and colleagues [39] on human miR-34/449 family suggested that isomiR variants which differ by single canonical counterpart can share biological functions indicatind additional mechanism by which regulation of complex biological function can be perfectly and easily employed by miRNA machinery.

Role of isomiRs in human diseases

The relationship of isomiR expression and disease progression is not clear till date. However, some reports are there which show some association of isomiRs with different diseases. In the case of Alzheimer’s disease (AD), a significant change in miRNA isoforms was found between early and late stages of the disease. An entropy based MIH5 model was introduced to identify effects of dysregulation of miRNA isoforms at 5′end. The results indicated that as compared to the expression-based method, the entropy-based method is most stable to detect miRNA related to AD [40]. Using miR-183-5p in breast cancer and normal breast data sets of 2 races (white and black) from the Cancer Genome Atlas repository (https://www.cell.com/pb-assets/consortium/pancanceratlas/pancani3/index.html), it has been reported that as compared to archetype miRNA, full isomiR profile from known and novel human-specific miRNA can provide better results to distinguish between normal and tumorous tissueas its isomiRs were upregulated in breast cancer related white women but not black. Also, a distinct impact of these isomiRs on cellular transcriptome has been identified due to overexpression of isomiRs in MDAMB- 231 cells followed by microarray analysis [41].

The overexpression of canonical miRNA hsa-miR-140-3p and its 5’isomiR-140-3p has been reported in breast cancer patients. Reduced cell viability was observed in breast cancer cell lines (MCF10A, MDA-MB-468, and MDA-MB-231) due to higher expression of 5’isomiR-140-3p. The cell cycle analysis showed that 5’isomiR-140-3p caused decreased cell migration and cell cycle arrest at G0/G1 phase. The data revealed that 5’isomiR-140-3p contributes to tumor-suppressive effects by reducing breast cancer proliferation and migration, [42]. In another study, small RNA (sRNA) sequencing databases were used to study the expression of miRNA and isomiRs by correlating with gender difference. It was determined that the expression of miRNA can vary between different tissues and genders. From the statistical analysis they concluded that there is a significant difference between the expression of miRNA and isomiRs in tumor and normal tissues in both sexes. The study suggested that screening of miRNA/isomiRs associated with the disease could be affected by gender difference [43].

Babapoor and team [44] identified isomiR sequence of miRNAs that were deregulated in cutaneous melanomaand found that miR-451a was functioning as a tumor suppressor in gastrointestinal cancer cells and glioma cells. They concluded that miR-451a was involved in melanoma progression while the mature form of this isomiR, miR-451a.1 was associated with amelanotic melanoma [44]. Zhang and coworkers [45] developed a new method to discover the catalogue of isomiRs in association with cancer progression in human. Differentially expressed isomiRs were detected using DEseq algorithm, followed by rank based MANOVA. The expression pattern between normal and tumorous tissues when compared using MANOVA algorithm and the biological functions of isomiRs when elucidated using functional enrichment analysis. There was significant inconsistency in the expression of multiple isomiRs derived from same miRNA locus in normal and tumor samples .

The miRNA transcriptional response of human dendritic cells to various mycobacterium infections showed that bacterial infection has a strong impact on the cellular immune response of host which can alter the expression and proportion of miRNA isoforms. A total of 1595 isomiRs corresponding to 235 miRNAs were detected with alteration in the expression due to bacterial infection using DESeq algorithm (which is based on negative binomial distribution). isomiRs. It has been observed that due to bacterial infection, as compared to start site, the end regions of isomiRs show great variability. The miRNA repertoire involved in providing immunity to Mycobacterium tuberculosis was also identified using deep sequencing [46, 47]. The results of transcriptome and miRNA analyses of human peripheral blood mononuclear cells (PBMCs) were also used to identify the isomiR profile. The results from data entered in miRBase indicated that the most abundant isomiR sequences did not match the reference miRNA sequence. This specifies that there is a dynamic change in the relative expression level of isomiRs derived from the same precursor (which may vary depending on cell type and its differentiation status) [48].

IsomiRs in livestock

A very limited research has been conducted on role of isomiRs in livestock. The study on tooth morphogenesis in miniature pigs (Sus scrofa) revealed that out of 11 unique miRNA sequences, a total of five (mir-103, mir-107, mir-133a, mir-133b, mir-127) belong to isomiR families and play an important role in developmental stages of teeth including incisors, canines, bicuspids and molars [49]. The miRNA study during bovine oestrous cycle revealed the presence of isomiRs in bovine plasma using sRNAbench. A total of 655 isomiRs were identified from 134 canonical miRNA with modifications on 3′-end, 5′-end and also in the middle of canonical miRNA. Some of the isomiRs were showing higher expression level than their canonical sequence suggesting that some bovine miRNA do not correspond to their isoforms [50]. In case of cattle some isomiRs were showing 3′ or 5′ end variation, but some isomiRs, for example, miR-125-p showed both 3′ as well as 5′ end variations. IsomiRs have also been found in porcine muscle cell study (miR-423) and in longissimus muscle of sheep (miR-96) at 3′ end variants [51]. The results from Illumina deep sequencing of pig miRNA and isomiRs sequence revealed its role during early pregnancy [52]. The miR-127-3p is one of the highly expressed miRNA in retina and RPE/Choroid. The deep sequencing study conducted on mouse retina indicated the presence of similar level of miR-127-3p and its isomiRs [53]. In a recent study novel miRNAs and their orthologs has been detected in left ventricular wall of rat heart [54]. Transcriptome sequencing analysis performed on murine HL-1 cells identified that 5′ isomiRs target the genes that are involved in cardiovascular disease. In the same study 2 identical genomic loci of miR-133a 5′ isomiR (i.e. miR-133a-1 and miR-133a-2) were identified in mammals that process different loci [55].

IsomiR databases

IsomiR Bank (http://mcg.ustc.edu.cn/bsc/isomir/) is a free online database created to integrate detected isomiRs. According to the data provided by Zhang and coworkers [56], a total of 308,919 isomiRs collected from 4706 mature miRNA are present in isomiR Bank. This bank provides the analysis of target prediction and enrichment for evaluating isomiRs effects on target selection. Another online platform miR-isomiRExp has been developed recently to analyze the expression of specific miRNA at miRNA/isomiR level. This software can reveal functional characteristics and can provide the whole mechanism involved in maturation and processing of miRNA/isomiR. This platform also provides information regarding deregulated miRNA loci and detailed isomiR sequence [57].

There are various tools available to predict and quantify known and novel miRNA including miRDB (http://mirdb.org/), miRFinder (http://www.bioinformatics.org/mirfinder/), and miRDeep2 (https://www.mdc-berlin.de/content/mirdeep2-documentation). Another software miRPro (https://sourceforge.net/projects/mirpro/ › Browse) has been developed recently which is able to predict novel miRNA and can quantify the known miRNA. This software can also detect isomiRs, which is not possible with miRDeep2. It also includes genome annotation based read count, optional seed region check, expression quantification of miRNA and arm switching detection [58]. It has been reported that many tools do not provide information regarding isomiRs of specific miRNA and conserved miRNA-mRNA interaction sites. To overcome these problems Urgese and colleagues [59] introduced a novel software named isomiR-SEA. This software characterizes the seed presence of miRNA in input tags and evaluates the position of mismatches. Thus it recognizes isomiRs and characterizes the interaction sites for miRNA-mRNA.

Conclusion

Isoforms of miRNA may provide detailed information about the specific cell or tissue type. The miRNAs and their variants can be used in disease association and detection in different species by studying differential expression pattern. However, more detailed and in-depth studies are warranted to explore the usability of isomiRs as markers for important diseases in animals and humans.

Abbreviations

AD: 

Alzheimer’s disease

C. elegans

Caenorhabditis elegans

DCL1: 

Dicer-like 1

GO: 

Gene ontology

miRNA: 

MicroRNA

NGS: 

Next generation sequencing

PBMC: 

Peripheral blood mononuclear cells

RISC: 

RNA induced silencing complex

SNP: 

Single nucleotide polymorphism

sRNA: 

Small RNA

TLR: 

Toll like receptors

UTR: 

Untranslated region

Declarations

Acknowledgments

The a-uthors thankfully acknowledge Dr. Simrat Sagar Singh, Dean, Postgraduate Studies, Guru Angad Dev Veterinary and Animal Sciences University Ludhiana for providing facilities.

Funding

The authors are thankful to the Department of Biotechnology (DBT), Government of India (Project no. AAB-009) for providing funds.

Availability of data and materials

Not applicable.

Authors’ contributions

JKD: Manuscript data collection and writing; CSM: data collection and manuscript drafting; JSA, Ramneek and RSS: drafting and revising the manuscript critically. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
School of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, 141004, India

References

  1. Ramesh SP. MicroRNA function: multiple mechanisms for a tiny RNA. RNA. 2005;11:1753–61.View ArticleGoogle Scholar
  2. Lee RC, Feinbaum RL, Ambros V, Ambros F. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell. 1993;75(5):843–54. https://doi.org/10.1016/0092-8674(93)90529-Y. View ArticlePubMedGoogle Scholar
  3. Wahid F, Shehzad A, Khan T, Kim YY. MicroRNAs: synthesis, mechanism, function, and recent clinical trials. Biochim Biophys Acta. 2010;1803:1231–43.View ArticleGoogle Scholar
  4. Enright AJ, John B, Gaul U, Tuschl T, Sander C, Marks DS. MicroRNA targets in Drosophila. Genome Biol. 2003;5:R1. https://doi.org/10.1186/gb-2003-5-1-r1.View ArticlePubMedPubMed CentralGoogle Scholar
  5. Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005;120:15–20.View ArticleGoogle Scholar
  6. Alexandra D, Iliopoulos D. MicroRNA gene networks in oncogenesis. Curr Genomics. 2009;10(1):35–41. https://doi.org/10.2174/138920209787581299.View ArticleGoogle Scholar
  7. Friedman RC, Farh KK, Burge CB, Bartel DP. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009;19:92–105.View ArticleGoogle Scholar
  8. Liu W, Mao S-Y, Zhu W-Y. Impact of tiny miRNAs on cancers. World J Gastroenterol. 2007;13(4):497–502.View ArticleGoogle Scholar
  9. John B, Enright AJ, Aravin A, Tuschl T, Sander C, Marks DS. Human microRNA targets. PLoS Biol. 2004;2:e363. https://doi.org/10.1371/journal.pbio.0020363. View ArticlePubMedPubMed CentralGoogle Scholar
  10. Grun D, Wang YL, Langenberger D, Gunsalus KC, Rajewsky N. microRNA target predictions across seven Drosophila species and comparison to mammalian targets. PLoS Comput Biol. 2005;1:e13. https://doi.org/10.1371/journal.pcbi.0010013. View ArticlePubMedPubMed CentralGoogle Scholar
  11. MacFarlane LA, Murphy PR. MicroRNA: biogenesis, function and role in Cancer. Curr Genomics. 2010;11:537–61.View ArticleGoogle Scholar
  12. Mukhopadhyay CS, Singh J. MicroRNAs: basics, implications and modulation in improving disease resistance, DBT sponsored short term training course on molecular tools and bioinformatics approaches for livestock genome analysis, delivered on 13th September 2014 at central Institute for Research on cattle, grass farm road, Meerut, UP, organized during 10th to 30th September; 2014. p. 67–73.Google Scholar
  13. Singh J, Mukhopadhyay CS, Kaur S, Malhotra P, Sethi RS, Choudhary RK. Identification of the MicroRNA repertoire in TLR ligand challenged bubaline PBMCs as a model of bacterial and viral infection. PLoS One. 2016;11(6):e0156598. https://doi.org/10.1371/journal.pone.0156598.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Dhanoa JK, Singh J, Singh A, Arora, JS, Sethi RS, Mukhopadhyay CS. Discovery of isomiRs in PBMCs of diseased vis-à-vis healthy Indian water buffaloes. Accepted in ExRNA.Google Scholar
  15. Mukhopadhyay CS, Verma R, Singh J. Extraction and qPCR based detection of miRNAs from cultured PBMCs of bubaline origin. In: Mossman K, editor. Innate antiviral immunity: methods and protocols: Publisher Humana Press; 2017. p. 1656. https://doi.org/10.1007/978-1-4939-7237-1. eBook ISBN: 978-1-4939-7237-1, Hardcover ISBN: 978-1-4939-7236-4, Series ISSN: 1064-3745.
  16. Manku HK, Dhanoa JK, Kaur S, Arora JS, Mukhopadhyay CS. Biocomputational identification of microRNAs from bubaline whole genome shotgun sequences. Comput Biol Chem. 2017;70:96–106. https://doi.org/10.1016/j.compbiolchem.2017.08.005.
  17. Neilsen CT, Goodall GJ, Bracken CP. IsomiRs–the overlooked repertoire in the dynamic microRNAome. Trends Genet. 2012;28:544–9.View ArticleGoogle Scholar
  18. Morin RD, O’Connor MD, Griffith M, Kuchenbauer F, Delaney A, Prabhu AL, Zhao Y, McDonald H, Zeng T, Hirst M, et al. Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells. Genome Res. 2008;18:610–21.View ArticleGoogle Scholar
  19. Guo L, Zhang H, Zhao Y, Yang S, Chen F. Selected isomiR expression profiles via arm switching. Gene. 2014;533(1):149–55.View ArticleGoogle Scholar
  20. Wright MW, Bruford EA. Naming junk: human non-protein coding RNA (ncRNA) gene nomenclature. Hum Genomics. 2011;5(2):90–8. https://doi.org/10.1186/1479-7364-5-2-90. View ArticlePubMedPubMed CentralGoogle Scholar
  21. Lages E, Ipas H, Guttin A, Nesr H, Berger F, Issartel J-P. MicroRNAs: molecular features and role in cancer. Front Biosci. 2012;17:2508–40.View ArticleGoogle Scholar
  22. Zou Q. Presentation on theme: computational prediction of miRNA and miRNA-disease relationship. China: Professor School of Computer Sci&Tech Tianjin University; 2015.Google Scholar
  23. Vickers KC, Sethupathy P, Baran-Gale J, Remaley AT. Complexity of microRNA function and the role of isomiRs in lipid homeostasis. J Lipid Res. 2013;54:1182–91.View ArticleGoogle Scholar
  24. Ruby JG, Stark A, Johnston WK, Kellis M, Bartel DP, Lai EC. Evolution, biogenesis, expression, and target predictions of a substantially expanded set of Drosophila microRNAs. Genome Res. 2007;17:1850–64.View ArticleGoogle Scholar
  25. Manzano M, Forte E, Raja AN, Schipma MJ, Gottwein E. Divergent target recognition by co-expressed 5′-isomiRsof miR-142-3p and selective viral mimicry. RNA. 2015;21(9):1606–20.View ArticleGoogle Scholar
  26. Wyman SK, Knouf EC, Parkin RK, Fritz BR, Lin DW, Dennis LM, et al. Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity. Genome Res. 2011;21:1450–61.View ArticleGoogle Scholar
  27. Ma H, Wub Y, Niu Q, Zhang J, Jia G, Manjunath N, Wua H. A sliding-bulge structure at the dicer processing site of pre-miRNAs regulates alternative dicer processing to generate5′-isomiRs. Elsevier. 2016;2(9):e00148. https://doi.org/10.1016/j.heliyon.2016.e00148.View ArticleGoogle Scholar
  28. Tan GC, Chan E, Molnar A, Sarkar R, Alexieva D, Isa IM, Robinson S, et al. 5′isomiR variation is of functional and evolutionary importance. Nucleic Acids Res. 2014;42(14):9424–35. https://doi.org/10.1093/nar/gku656. View ArticlePubMedPubMed CentralGoogle Scholar
  29. Guo L, Yu J, Yu H, Zhao Y, Chen S, Xu C, Chen F. Evolutionary and expression analysis of miR-#-5p and miR-#-3p at the miRNAs/isomiRs levels. Biomed Res Int. 2014a;2015:1–14.Google Scholar
  30. Chen L, Heikkinen L, Knott KE, Liang Y, Wong G. Evolutionary conservation and function of the human embryonic stem cell specific miR-302/367 cluster. Comp Biochem Physiol. 2015;16:83–98.Google Scholar
  31. Cloonan N, Wani S, Xu Q, Gu J, Lea K, Heater S, Barbacioru C, et al. MicroRNAs and their isomiRs function cooperatively to target common biological pathways. Genome Biol. 2011;12:R126.View ArticleGoogle Scholar
  32. Ebhardt HA, Tsang HH, Dai DC, Liu YF, Bostan B, Fahlman RP. Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications. Nucleic Acids Res. 2009;37:2461–70.View ArticleGoogle Scholar
  33. Fernandez-Valverde SL, Taft RJ, Mattick JS. Dynamic isomiR regulation in Drosophila development. RNA. 2010;16:1881–8.View ArticleGoogle Scholar
  34. Tan GC, Nicholas D. IsomiRs have functional importance. Malaysian J Pathol. 2015;37(2):73–81.Google Scholar
  35. Ahmed F, Senthil-Kumar M, Lee S, Dai X, Mysore KS, Zhao PX. Comprehensive analysis of small RNA-seq data reveals that combination of miRNA with its isomiRs increase the accuracy of target prediction in Arabidopsis thaliana. RNA Biol. 2014;11(11):1414–29.View ArticleGoogle Scholar
  36. Loher P, Londin ER, Rigoutsos I. IsomiR expression profiles in human lymphoblastoid cell lines exhibit population and gender dependencies. Oncotarget. 2014;5(18):8790–802.View ArticleGoogle Scholar
  37. Chan Y-T, Lin Y-C, Lin R-J, Kuo H-H, Thang W-C, Chiu K-P, Yu AL. Concordant and discordant regulation of target genes by miR-31 and its isoforms. PLoS One. 2013;8(3):e58169.View ArticleGoogle Scholar
  38. Liang T, Yu J, Liu C, Guo L. IsomiR expression patterns in canonical and dicer-independent microRNAs. Mol Med Rep. 2017;15(3):1071–8.View ArticleGoogle Scholar
  39. Mercey O, Popa A, Cavard A, Paquet A, Chevalier B, Pons N, Magnone V, et al. Characterizing isomiR variants within the microRNA-34/449 family. FEBS Lett. 2017;591(5):693–705.View ArticleGoogle Scholar
  40. Wang S, Xub Y, Li M, Tub J, Lub Z. Dysregulation of miRNA isoform level at 5′ end in Alzheimer's disease. Gene. 2016;584:167–72.View ArticleGoogle Scholar
  41. Telonis AG, Loher P, Jing Y, Londin E, Rigoutsos I. Beyond the one-locus-one-miRNA paradigm: microRNA isoforms enable deeper insights into breast cancer heterogeneity. Nucleic Acids Res. 2015;43(19):9158–75.View ArticleGoogle Scholar
  42. Salem O, Erdem N, Jung J, Münstermann E, Wörner A, Wilhelm H, Wiemann S, Körner C. The highly expressed 5’isomiR of hsa-miR-140-3p contributes to the tumor suppressive effects of miR-140 by reducing breast cancer proliferation and migration. BMC Genomics. 2016;17:566. https://doi.org/10.1186/s12864-016-2869-x. View ArticlePubMedPubMed CentralGoogle Scholar
  43. Guo L, Liang T, Yu J, Zou Q. A comprehensive analysis of miRNA/isomiR expression with gender difference. PLoS One. 2016;11(5):e0154955.View ArticleGoogle Scholar
  44. Babapoor S, Fleming E, Wu R, Dadrasm SS. A novel miR-451a isomiR, associated with Amelanotypic phenotype, acts as a tumor suppressor in melanoma by retarding cell migration and invasion. PLoS One. 2014;9(9):e107502.View ArticleGoogle Scholar
  45. Zhang H, Yang S, Guo L, Zhao Y, Shao F, Chen F. Comparisons of isomiR patterns and classification performance using the rank-based MANOVA and 10-fold cross-validation. Gene. 2015;569:21–6.View ArticleGoogle Scholar
  46. Siddle KJ, Tailleux L, Deschamps M, Loh YHE, Deluen C, Gicquel B, et al. Bacterial infection drives the expression dynamics of microRNAs and their isomiRs. PLoS Genet. 2015;11(3):e1005064.View ArticleGoogle Scholar
  47. Mukhopadhyay CS, Verma R, Singh J. Extraction and qPCR based detection of miRNAs from cultured PBMCs of bubaline origin. In: Innate antiviral immunity: Series- Methods Mol Biol. [Ed. Mossman K.] Springer Publication; Humana Press, New York, USA. 2017. 1656:89–102. https://doi.org/10.1007/978-1-4939-7237-1_4.
  48. Vaz C, Ahmad HM, Bharti R, Pandey P, Kumar L, Kulshreshtha R, Bhattacharya A. Analysis of the microRNA transcriptome and expression of different isomiRs in human peripheral blood mononuclear cells. BMC Research Notes. 2013;6:390.View ArticleGoogle Scholar
  49. Li A, Li Y, Song T, Wang F, Dayong Liu D, Fan Z, Cheng S, Zhang C, Wang J, He J, Wang S. Identification of differential microRNA expression during tooth morphogenesis in the heterodont dentition of miniature pigs, Sus Scrofa. BMC Dev Biol. 2015;15:51.View ArticleGoogle Scholar
  50. Ioannidis J, Donadeu FX. Circulating microRNA profiles during the bovine Oestrous cycle. PLoS One. 2016;11(6):e0158160. https://doi.org/10.1371/journal.pone.0158160.View ArticlePubMedPubMed CentralGoogle Scholar
  51. Fatima A, Morris DG. MicroRNAs in domestic livestock. Physiol Genomics. 2013;45:685–96.View ArticleGoogle Scholar
  52. Krawczynski K, Bauersachs S, Reliszko ZP, Graf A, Kaczmarek MM. Expression of microRNAs and isomiRs in the porcine endometrium: implications for gene regulation at the maternal-conceptus interface. BMC Genomics. 2015;16:906. https://doi.org/10.1186/s12864-015-2172-2. View ArticlePubMedPubMed CentralGoogle Scholar
  53. Soundara Pandi SP, Chen M, Guduric-Fuchs J, Xu H, Simpson DA. Extremely complex populations of small RNAs in the mouse retina and RPE/choroid. Invest Ophthalmol Vis Sci. 2013;54:8140–51. https://doi.org/10.1167/iovs.13-12631.View ArticlePubMedGoogle Scholar
  54. McGahon MK, Yarham JM, Daly A, Guduric-Fuchs J, Ferguson LJ, Simpson DA, Collins A. Distinctive profile of IsomiR expression and novel MicroRNAs in rat heart left ventricle. PLoS One. 2013;8(6):e65809. https://doi.org/10.1371/journal.pone.0065809.View ArticlePubMedPubMed CentralGoogle Scholar
  55. Chiang HR, Schoenfeld LW, Ruby JG, Auyeung VC, Spies N, et al. Mammalian microRNAs: experimental evaluation of novel and previously annotated genes. Genes Dev. 2010;24:992–1009.View ArticleGoogle Scholar
  56. Zhang Y, Zang Q, Xu B, Zheng W, Ban R, Zhang H, Yang Y, Hao Q, Iqbal F, Li A, Shi Q. IsomiR Bank: a research resource for tracking IsomiRs. Bioinformatics. 2016;32(13):2069–71.View ArticleGoogle Scholar
  57. Guo L, Yu J, Liang T, Zou Q. miR-isomiRExp: a web-server for the analysis of expression of miRNA at the miRNA/isomiR levels. Sci Rep. 2016a;6:23700.View ArticleGoogle Scholar
  58. Shi J, Dong M, Li L, Liu L, Luz-Madrigal A, Tsonis PA, Rio-Tsonis KD, Liang C. mirPRo–a novel standalone program for differential expression and variation analysis of miRNAs. Sci Rep. 2015;5:14617.View ArticleGoogle Scholar
  59. Urgese G, Paciello G, Acquaviva A, Ficarra E. isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation. BMC Bioinformatics. 2016;17:148.View ArticleGoogle Scholar

Copyright

© The Author(s) 2019

Advertisement