Skip to main content
Log in

LIPRNAseq: a method to discover lipid interacting RNAs by sequencing

  • Original Article
  • Published:
Molecular Biology Reports Aims and scope Submit manuscript

Abstract

Background

Current biological research extensively describes the interactions of molecules such as RNA with other nucleic acids or proteins. However, the relatively recent discovery of nuclear phospholipids playing biologically relevant processes outside membranes, as well as, RNA-lipid interactions shows the need for new methods to explore the identity of these RNAs.

Methods and results

In this study, we describe the method for LIPID-RNA isolation followed by sequencing and analysis of the RNA that has the ability to interact with the selected lipids. Here we utilized specific phospholipid coated beads for selective RNA binding. We tested RNA from organisms belonging to different realms (human, plant, and yeast), and tested their ability to bind a specific lipid.

Conclusions

The results show several RNAs differentially enriched in the pull-down of phosphatidyl Inositol 4,5 bisphosphate coated beads. This method is helpful to screen lipid-binding RNA, which may have relevant biological functions. The method can be used with different lipids and comparison of pull-downs and can narrow the selection of RNAs that interact with a particular lipid for further studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

PIP2:

Phosphatidylinositol 4, 5 bisphosphate

PI4P:

Phosphatidylinositol 4 phosphate

PA:

Phosphatidic acid

PIP3:

Phosphatidylinositol 3, 4, 5-trisphosphate

lncRNA:

Long non-coding RNA

References

  1. Yildirim S, Castano E, Sobol M et al (2013) Involvement of phosphatidylinositol 4,5-bisphosphate in RNA polymerase I transcription. J Cell Sci 126:2730–2739. https://doi.org/10.1242/jcs.123661

    Article  CAS  PubMed  Google Scholar 

  2. Hoboth P, Sztacho M, Šebesta O et al (2021) Nanoscale mapping of nuclear phosphatidylinositol phosphate landscape by dual-color dSTORM. Biochim Biophys Acta Mol Cell Biol Lipids 1866. https://doi.org/10.1016/j.bbalip.2021.158890

  3. Sobol M, Krausová A, Yildirim S et al (2018) Nuclear phosphatidylinositol 4,5-bisphosphate islets contribute to efficient RNA polymerase II-dependent transcription. J Cell Sci 131. https://doi.org/10.1242/jcs.211094

  4. Guo YE, Manteiga JC, Henninger JE et al (2019) Pol II phosphorylation regulates a switch between transcriptional and splicing condensates. Nature 572:543–548. https://doi.org/10.1038/s41586-019-1464-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Guo Q, Shi X, Wang X (2021) RNA and liquid-liquid phase separation. Noncoding RNA Res 6:92–99. https://doi.org/10.1016/j.ncrna.2021.04.003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kalasova I, Fáberová V, Kalendová A et al (2016) Tools for visualization of phosphoinositides in the cell nucleus. Histochem Cell Biol 145:485–496. https://doi.org/10.1007/s00418-016-1409-8

    Article  CAS  PubMed  Google Scholar 

  7. Castano E, Yildirim S, Fáberová V et al (2019) Nuclear Phosphoinositides—Versatile regulators of genome functions. https://doi.org/. Cells 1–19

  8. Sobol M, Yildirim S, Philimonenko VV et al (2013) UBF complexes with phosphatidylinositol 4,5-bisphosphate in nucleolar organizer regions regardless of ongoing RNA polymerase I activity. Nucleus 4. https://doi.org/10.4161/nucl.27154

  9. Lin A, Hu Q, Li C et al (2017) The LINK-A lncRNA interacts with PtdIns(3,4,5)P3 to hyperactivate AKT and confer resistance to AKT inhibitors. Nat Cell Biol 19:238–251. https://doi.org/10.1038/ncb3473

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Li RH, Tian T, Ge QW et al (2021) A phosphatidic acid-binding lncRNA SNHG9 facilitates LATS1 liquid–liquid phase separation to promote oncogenic YAP signaling. Cell Res 31:1088–1105. https://doi.org/10.1038/s41422-021-00530-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Donia T, Jyoti B, Suizu F et al (2019) Identification of RNA aptamer which specifically interacts with PtdIns(3)P. Biochem Biophys Res Commun 517:146–154. https://doi.org/10.1016/j.bbrc.2019.07.034

    Article  CAS  PubMed  Google Scholar 

  12. Yamada A, Yu P, Lin W et al (2018) A RNA-Sequencing approach for the identification of novel long non-coding RNA biomarkers in colorectal cancer. Sci Rep 8. https://doi.org/10.1038/s41598-017-18407-6

  13. Zhou M, Diao Z, Yue X et al (2016) Construction and analysis of dysregulated lncRNA-associated ceRNA network identified novel lncRNA biomarkers for early diagnosis of human pancreatic cancer. Oncotarget 7:56383–56394. https://doi.org/10.18632/oncotarget.10891

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ni C, Jiang W, Wang Z et al (2021) LncRNA-AC006129.1 reactivates a SOCS3-mediated anti-inflammatory response through DNA methylation-mediated CIC downregulation in schizophrenia. Mol Psychiatry 26:4511–4528. https://doi.org/10.1038/s41380-020-0662-3

    Article  CAS  PubMed  Google Scholar 

  15. Ji H, Niu C, Zhan X et al (2020) Identification, functional prediction, and key lncRNA verification of cold stress-related lncRNAs in rats liver. Sci Rep 10. https://doi.org/10.1038/s41598-020-57451-7

  16. Jiang P, Hou Y, Fu W et al (2018) Characterization of lncRNAs involved in cold acclimation of zebrafish ZF4 cells. PLoS ONE 13:1–13. https://doi.org/10.1371/journal.pone.0195468

    Article  CAS  Google Scholar 

  17. Li S, Yu X, Lei N et al (2017) Genome-wide identification and functional prediction of cold and/or drought-responsive lncRNAs in cassava. Sci Rep 7. https://doi.org/10.1038/srep45981

  18. Lambert N, Robertson A, Jangi M et al (2014) RNA Bind-n-Seq: quantitative Assessment of the sequence and structural binding specificity of RNA binding proteins. Mol Cell 54:887–900. https://doi.org/10.1016/j.molcel.2014.04.016

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Fujita T, Yuno M, Okuzaki D et al (2015) Identification of non-coding RNAs associated with telomeres using a combination of enChIP and RNA sequencing. PLoS ONE 10:1–12. https://doi.org/10.1371/journal.pone.0123387

    Article  CAS  Google Scholar 

  20. Dobin A, Davis CA, Schlesinger F et al (2013) STAR: Ultrafast universal RNA-seq aligner. Bioinformatics 29:15–21. https://doi.org/10.1093/bioinformatics/bts635

    Article  CAS  PubMed  Google Scholar 

  21. Kim D, Langmead B, Salzberg SL (2015) HISAT: A fast spliced aligner with low memory requirements. Nat Methods 12:357–360. https://doi.org/10.1038/nmeth.3317

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Li B, Dewey CN (2011) RSEM: Accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12. https://doi.org/10.1186/1471-2105-12-323

  23. Robinson MD, McCarthy DJ, Smyth GK (2009) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26:139–140. https://doi.org/10.1093/bioinformatics/btp616

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Albi E, Viola Magni MP (2004) The role of intranuclear lipids. Biol Cell 96:657–667

    Article  CAS  PubMed  Google Scholar 

  25. Balaban C, Sztacho M, Antiga L et al (2023) PIP2-Effector protein MPRIP regulates RNA polymerase II condensation and transcription. Biomolecules 13:426. https://doi.org/10.3390/biom13030426

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Wang YH, Sheetz MP (2022) When PIP2 meets p53: Nuclear Phosphoinositide Signaling in the DNA damage response. Front Cell Dev Biol 10

  27. Lu Y, Wu T, Gutman O et al (2020) Phase separation of TAZ compartmentalizes the transcription machinery to promote gene expression. Nat Cell Biol 22:453–464. https://doi.org/10.1038/s41556-020-0485-0

    Article  CAS  PubMed  Google Scholar 

  28. Gibson BA, Doolittle LK, Schneider MWG et al (2019) Organization of chromatin by intrinsic and regulated phase separation. Cell 179:470–484e21. https://doi.org/10.1016/j.cell.2019.08.037

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Maccaroni K, La Torre M, Burla R, Saggio I (2022) Phase separation in the Nucleus and at the Nuclear periphery during Post-Mitotic Nuclear Envelope Reformation. Cells 11

  30. Czerniak T, Saenz JP (2022) Lipid membranes modulate the activity of RNA through sequence-dependent interactions. https://doi.org/10.1073/pnas.2119235119. PNAS

Download references

Acknowledgements

We would like to tank Pavel Kriz and Wilma Gonzalez for their technical help.

Author information

Authors and Affiliations

Authors

Contributions

AB, SG, AJ, and EC designed the experiments; AB, MS and EC performed the experiments with human; AB and SG performed the experiments with S. queretaroensis; AJ and EC performed the experiments with Yeast; AB and APS carried out the bioinformatics; PH and LC help with the data analysis and editing of the manuscript. AB, AJ, APS, and EC wrote the manuscript with the input of all the authors.

Corresponding author

Correspondence to Enrique Castaño.

Ethics declarations

Ethics approval and consent to participate

This article does not contain any studies with any animals or human participants performed by any of the authors.

Grants

(Internship LTC19048 and LTC20024) and the project: BIOCEV – Biotechnology and Biomedicine Centre of the Academy of Sciences and Charles University (CZ.1.05/1.1.00/02.0109), from the European Regional Development Fund. COST Pan-European Network in Lipidomics and EpiLipidomics (EpiLipidNET CA19105 action). The Microscopy Centre was supported by the MEYS CR (LM2018129 Czech-BioImaging) and by the European Regional Development Fund-Project “Modernization and support of research activities of the national infrastructure for biological and medical imaging CzechBioImaging” (no. CZ.02.1.01/0.0/0.0/16_013/0001775) and by CONACYT grant FC2016/1572.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationship that could be construed as a potential conflict of interest.

Additional information

Publisher’s Note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bayona-Hernandez, A., Guerra, S., Jiménez-Ramirez, I. et al. LIPRNAseq: a method to discover lipid interacting RNAs by sequencing. Mol Biol Rep 50, 6619–6626 (2023). https://doi.org/10.1007/s11033-023-08548-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11033-023-08548-5

Keywords

Navigation