Cited by 103RNA Research and SplicingLiver physiology and pathologyCancer-related molecular mechanisms research

ESRP2 controls an adult splicing programme in hepatocytes to support postnatal liver maturation

Open access
Bhate, Amruta, Parker, Darren J., Bebee, Thomas W., Ahn, Jaegyoon, Arif, Waqar, Rashan, Edrees H., Chorghade, Sandip, Chau, Anthony +5 more·2015·Nature Communications

Abstract

Although major genetic networks controlling early liver specification and morphogenesis are known, the mechanisms responsible for postnatal hepatic maturation are poorly understood. Here we employ global analyses of the mouse liver transcriptome to demonstrate that postnatal remodelling of the liver is accompanied by large-scale transcriptional and post-transcriptional transitions that are cell-type-specific and temporally coordinated. Combining detailed expression analyses with gain- and loss-of-function studies, we identify epithelial splicing regulatory protein 2 (ESRP2) as a conserved regulatory factor that controls the neonatal-to-adult switch of ∼20% of splice isoforms in mouse and human hepatocytes. The normal shift in splicing coincides tightly with dramatic postnatal induction of ESRP2 in hepatocytes. We further demonstrate that forced expression of ESRP2 in immature mouse and human hepatocytes is sufficient to drive a reciprocal shift in splicing and causes various physiological abnormalities. These findings define a direct role for ESRP2 in the generation of conserved repertoires of adult splice isoforms that facilitate terminal differentiation and maturation of hepatocytes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/ncomms9768

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • ESRP2 deficiency prevented the fetal-to-adult switch in splicing for hundreds of RNA transcripts that normally shift their splicing patterns in the suckling-to-weaning transition period.

    “Consistent with our previous smaller-scale study (Bhate et al. 2015), ESRP2 deficiency prevented the fetal-to-adult switch in splicing for hundreds of RNA transcripts that normally shift their splicing patterns in the suckling-to-weaning transition period.”

    From ESRP2–microRNA-122 axis promotes the postnatal onset of liver polyploidization and maturation (2025) · cites this paper as Bhate et al. 2015

    The Results section (“ESRP2 controls postnatal hepatic AS transitions”; page unavailable) reports that adult Esrp2-knockout livers retained neonatal splicing patterns for over 96% of ESRP2-regulated events. But it tested 143 developmental events and found 31 strongly misspliced in knockouts, not hundreds of transcripts whose switch was prevented. The Discussion places many hepatocyte splicing switches in the postnatal period around the milk-to-chow transition. (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Whether liver cells exhibit fetal or adult phenotypes is controlled by families of factors that regulate the synthesis, splicing, stability, and translation of mRNAs.

    “Whether liver cells exhibit fetal or adult phenotypes is controlled by families of factors that regulate the synthesis, splicing, stability, and translation of mRNAs (Panduro et al. 1987; Bhate et al. 2015; Suzuki et al. 2019; Gong et al. 2020).”

    From ESRP2–microRNA-122 axis promotes the postnatal onset of liver polyploidization and maturation (2025) · cites this paper as Bhate et al. 2015

    The Results (Extensive transcriptome remodelling during liver maturation; page not provided) document changes in mRNA abundance and splicing between fetal and adult liver, and the Discussion describes transcriptional and post-transcriptional regulatory modules in hepatic development. The Discussion mentions a proposed effect of alternative polyadenylation on mRNA stability but argues against a major role for it in determining mRNA abundance during liver maturation. These passages do not establish the claim's additional point about regulation of mRNA translation. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Numerous changes in mRNA abundance and splicing occur within the first 3 weeks of life, as hematopoiesis and proliferative activity are reduced, and gene products involved in metabolism are induced.

    “Numerous changes in mRNA abundance and splicing occur within the first 3 weeks of life (Bhate et al. 2015; Chembazhi et al. 2021; Liang et al. 2022), as hematopoiesis and proliferative activity are reduced, and gene products involved in metabolism are induced (Zaret 2002; Gordillo et al. 2015).”
  • Sequential changes in alternative splicing in the postnatal period help generate new proteoforms to support hepatocyte maturity.

    “For instance, sequential changes in alternative splicing in the postnatal period help generate new proteoforms to support hepatocyte maturity (Bhate et al. 2015; Yang et al. 2023).”
  • ESRP2 is a key splicing factor in the liver that maintains the nonproliferative, mature phenotype of adult hepatocytes.

    “ESRP2 is a key splicing factor in the liver that maintains the nonproliferative, mature phenotype of adult hepatocytes (Bhate et al. 2015).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 55

  1. Si-Tayeb K., Lemaigre F. P. & Duncan S. A. Organogenesis and development of the liver. Dev. Cell 18, 175– 189 (2010). 20159590
  2. Zaret K. S. Genetic programming of liver and pancreas progenitors: lessons for stem-cell differentiation. Nat. Rev. Genet. 9, 329– 340 (2008). 18398419
  3. Costa R. H., Kalinichenko V. V., Holterman A. X. & Wang X. Transcription factors in liver development, differentiation, and regeneration. Hepatology 38, 1331– 1347 (2003). 14647040
  4. Kyrmizi I.. Plasticity and expanding complexity of the hepatic transcription factor network during liver development. Genes Dev. 20, 2293– 2305 (2006). 16912278 PMC1553211
  5. Sen S., Jumaa H. & Webster N. J. Splicing factor SRSF3 is crucial for hepatocyte differentiation and metabolic function. Nat. Commun. 4, 1336 (2013). 23299886 PMC4314219
  6. Pihlajamaki J.. Expression of the splicing factor gene SFRS10 is reduced in human obesity and contributes to enhanced lipogenesis. Cell Metab. 14, 208– 218 (2011). 21803291 PMC3167228
  7. Elizalde M.. Splicing regulator SLU7 is essential for maintaining liver homeostasis. J. Clin. Invest. 124, 2909– 2920 (2014). 24865429 PMC4071377
  8. Lazaridis K. N.. Alternative splicing of the rat sodium/bile acid transporter changes its cellular localization and transport properties. Proc. Natl. Acad. Sci. USA 97, 11092– 11097 (2000). 10984521 PMC27153
  9. Salati L. M.. Nutritional regulation of mRNA processing. J. Nutr. 134, 2437S– 2443S (2004). 15333739
  10. Nilsen T. W. & Graveley B. R. Expansion of the eukaryotic proteome by alternative splicing. Nature 463, 457– 463 (2010). 20110989 PMC3443858
  11. Lee Y. & Rio D. C. Mechanisms and regulation of alternative pre-mRNA splicing. Annu. Rev. Biochem. 84, 291– 323 (2015). 25784052 PMC4526142
  12. Pan Q., Shai O., Lee L. J., Frey B. J. & Blencowe B. J. Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing. Nat. Genet. 40, 1413– 1415 (2008). 18978789
  13. Wang E. T.. Alternative isoform regulation in human tissue transcriptomes. Nature 456, 470– 476 (2008). 18978772 PMC2593745
  14. Kalsotra A. & Cooper T. A. Functional consequences of developmentally regulated alternative splicing. Nat. Rev. Genet. 12, 715– 729 (2011). 21921927 PMC3321218
  15. Black D. L. Mechanisms of alternative pre-messenger RNA splicing. Annu. Rev. Biochem. 72, 291– 336 (2003). 12626338
  16. Barash Y.. Deciphering the splicing code. Nature 465, 53– 59 (2010). 20445623
  17. Licatalosi D. D. & Darnell R. B. RNA processing and its regulation: global insights into biological networks. Nat. Rev. Genet. 11, 75– 87 (2010). 20019688 PMC3229837
  18. Matlin A. J., Clark F. & Smith C. W. Understanding alternative splicing: towards a cellular code. Nat. Rev. Mol. Cell Biol. 6, 386– 398 (2005). 15956978
  19. Charizanis K.. Muscleblind-like 2-mediated alternative splicing in the developing brain and dysregulation in myotonic dystrophy. Neuron 75, 437– 450 (2012). 22884328 PMC3418517
  20. Quesnel-Vallieres M., Irimia M., Cordes S. P. & Blencowe B. J. Essential roles for the splicing regulator nSR100/SRRM4 during nervous system development. Genes Dev. 29, 746– 759 (2015). 25838543 PMC4387716
  21. Gehman L. T.. The splicing regulator Rbfox2 is required for both cerebellar development and mature motor function. Genes Dev. 26, 445– 460 (2012). 22357600 PMC3305983
  22. Calarco J. A.. Regulation of vertebrate nervous system alternative splicing and development by an SR-related protein. Cell 138, 898– 910 (2009). 19737518
  23. Li Q.. The splicing regulator PTBP2 controls a program of embryonic splicing required for neuronal maturation. eLife 3, e01201 (2014). 24448406 PMC3896118
  24. Kalsotra A.. A postnatal switch of CELF and MBNL proteins reprograms alternative splicing in the developing heart. Proc. Natl. Acad. Sci. USA 105, 20333– 20338 (2008). 19075228 PMC2629332
  25. Xu X.. ASF/SF2-regulated CaMKIIdelta alternative splicing temporally reprograms excitation-contraction coupling in cardiac muscle. Cell 120, 59– 72 (2005). 15652482
  26. Guo W.. RBM20, a gene for hereditary cardiomyopathy, regulates titin splicing. Nat. Med. 18, 766– 773 (2012). 22466703 PMC3569865
  27. Giudice J.. Alternative splicing regulates vesicular trafficking genes in cardiomyocytes during postnatal heart development. Nat. Commun. 5, 3603 (2014). 24752171 PMC4018662
  28. Feng Y.. SRp38 regulates alternative splicing and is required for Ca(2+) handling in the embryonic heart. Dev. Cell 16, 528– 538 (2009). 19386262 PMC2688787
  29. Wei C.. Repression of the central splicing regulator RBFox2 is functionally linked to pressure overload-induced heart failure. Cell Rep. 10, 1435– 1638 (2015). 25753418 PMC4559494
  30. Kalsotra A., Wang K., Li P. F. & Cooper T. A. MicroRNAs coordinate an alternative splicing network during mouse postnatal heart development. Genes Dev. 24, 653– 658 (2010). 20299448 PMC2849122
  31. Singh R. K.. Rbfox2-coordinated alternative splicing of Mef2d and Rock2 controls myoblast fusion during myogenesis. Mol. Cell 55, 592– 603 (2014). 25087874 PMC4142074
  32. Hall M. P.. Quaking and PTB control overlapping splicing regulatory networks during muscle cell differentiation. RNA 19, 627– 638 (2013). 23525800 PMC3677278
  33. Yang J.. RBM24 is a major regulator of muscle-specific alternative splicing. Dev. Cell 31, 87– 99 (2014). 25313962
  34. Mallory M. J.. Induced transcription and stability of CELF2 mRNA drives widespread alternative splicing during T-cell signaling. Proc. Natl. Acad. Sci. USA 112, E2139– E2148 (2015). 25870297 PMC4418860
  35. Motta-Mena L. B., Heyd F. & Lynch K. W. Context-dependent regulatory mechanism of the splicing factor hnRNP L. Mol. Cell 37, 223– 234 (2010). 20122404 PMC2818868
  36. Oberdoerffer S.. Regulation of CD45 alternative splicing by heterogeneous ribonucleoprotein, hnRNPLL. Science 321, 686– 691 (2008). 18669861 PMC2791692
  37. Dittmar K. A.. Genome-wide determination of a broad ESRP-regulated posttranscriptional network by high-throughput sequencing. Mol. Cell Biol. 32, 1468– 1482 (2012). 22354987 PMC3318588
  38. Warzecha C. C.. An ESRP-regulated splicing programme is abrogated during the epithelial-mesenchymal transition. EMBO J. 29, 3286– 3300 (2010). 20711167 PMC2957203
  39. Warzecha C. C., Sato T. K., Nabet B., Hogenesch J. B. & Carstens R. P. ESRP1 and ESRP2 are epithelial cell-type-specific regulators of FGFR2 splicing. Mol. Cell 33, 591– 601 (2009). 19285943 PMC2702247
  40. Jungermann K. & Katz N. Functional specialization of different hepatocyte populations. Physiol. Rev. 69, 708– 764 (1989). 2664826
  41. Elkon R., Ugalde A. P. & Agami R. Alternative cleavage and polyadenylation: extent, regulation and function. Nat. Rev. Genet. 14, 496– 506 (2013). 23774734
  42. Lianoglou S., Garg V., Yang J. L., Leslie C. S. & Mayr C. Ubiquitously transcribed genes use alternative polyadenylation to achieve tissue-specific expression. Genes Dev. 27, 2380– 2396 (2013). 24145798 PMC3828523
  43. Girard J., Ferre P., Pegorier J. P. & Duee P. H. Adaptations of glucose and fatty acid metabolism during perinatal period and suckling-weaning transition. Physiol. Rev. 72, 507– 562 (1992). 1557431
  44. Ravi S., Schilder R. J. & Kimball S. R. Role of precursor mRNA splicing in nutrient-induced alterations in gene expression and metabolism. J. Nutr. 145, 841– 846 (2015). 25761502 PMC4408736
  45. Vanhaesebroeck B., Stephens L. & Hawkins P. PI3K signalling: the path to discovery and understanding. Nat. Rev. Mol. Cell Biol. 13, 195– 203 (2012). 22358332
  46. Boggiano J. C. & Fehon R. G. Growth control by committee: intercellular junctions, cell polarity, and the cytoskeleton regulate Hippo signaling. Dev. Cell 22, 695– 702 (2012). 22516196 PMC3376383
  47. Bahn J. H.. Accurate identification of A-to-I RNA editing in human by transcriptome sequencing. Genome Res. 22, 142– 150 (2012). 21960545 PMC3246201
  48. Li G.. Identification of allele-specific alternative mRNA processing via transcriptome sequencing. Nucleic Acids Res. 40, e104 (2012). 22467206 PMC3401465
  49. Anders S. & Huber W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010). 20979621 PMC3218662
  50. Shen S.. MATS: a Bayesian framework for flexible detection of differential alternative splicing from RNA-Seq data. Nucleic Acids Res. 40, e61 (2012). 22266656 PMC3333886
  51. Miller W.. 28-way vertebrate alignment and conservation track in the UCSC Genome Browser. Genome Res. 17, 1797– 1808 (2007). 17984227 PMC2099589
  52. Huang da W., Sherman B. T. & Lempicki R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44– 57 (2009). 19131956
  53. Bindea G.. ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology annotation networks. Bioinformatics 25, 1091– 1093 (2009). 19237447 PMC2666812
  54. Smoot M. E., Ruscheinski O. K., Wang J., Ideker P. L. & Cytoscape T. 2.8: new features for data integration and network visualization. Bioinformatics 27, 431– 432 (2011). 21149340 PMC3031041
  55. Li W. C., Ralphs K. L. & Tosh D. Isolation and culture of adult mouse hepatocytes. Methods Mol. Biol. 633, 185– 196 (2010). 20204628

Cited by

Sorted by citations

Authors
Bhate, A., Parker, D. J., Bebee, T. W., Ahn, J., Arif, W., Rashan, E. H., Chorghade, S., Chau, A., Lee, J.-H., Anakk, S., Carstens, R. P., Xiao, X., & Kalsotra, A.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • University of Pennsylvania (US)
  • University of California, Los Angeles (US)
Corresponding author
Kalsotra, Auinash
Venue
Nature Communications
Published
2015-11-04
Volume
6
Issue
1
Pages
8768-8768
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2223556930
Cited by
103
References
7
Citations by year
2026: 1 · 2025: 13 · 2024: 12 · 2023: 11 · 2022: 7 · 2021: 12 · 2020: 13 · 2019: 9 · 2018: 11 · 2017: 10 · 2016: 4
FWCI
3.62
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • March of Dimes Foundation (5-FY14-112)
  • Roy J. Carver Charitable Trust (14-4335)
  • University of Pennsylvania (P30 DK050306)
  • National Institutes of Health (DK050306, GM088809)
  • National Heart, Lung, and Blood Institute (R01HL126845)
  • National Human Genome Research Institute (R01HG006264)
  • National Institute of General Medical Sciences (R01GM088809)
  • National Institute of Diabetes and Digestive and Kidney Diseases (P30DK050306)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Health Sciences › Medicine › Hepatology › Liver physiology and pathology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
Keywords
ESRP2, alternative splicing, hepatocytes, hepatocyte differentiation, splice variants, liver transcriptome, post-transcriptional regulation, liver development
MeSH terms
Animals, Cell Differentiation, Humans, Immunohistochemistry, Liver, RNA Processing, Post-Transcriptional, Blotting, Western, RNA-Binding Proteins, Alternative Splicing, In Situ Hybridization, Mice, Knockout, Gene Expression Regulation, Developmental, Protein Isoforms, Reverse Transcriptase Polymerase Chain Reaction, Hepatocytes, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review