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Generation of cell-permeant recombinant human transcription factor GATA4 from E. coli

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Abstract

Transcription factor GATA4 is expressed during early embryogenesis and is vital for proper development. In addition, it is a crucial reprogramming factor for deriving functional cardiomyocytes and was recently identified as a tumor suppressor protein in various cancers. To generate a safe and effective molecular tool that can potentially be used in a cell reprogramming process and as an anti-cancer agent, we have identified optimal expression parameters to obtain soluble expression of human GATA4 in E. coli and purified the same to homogeneity under native conditions using immobilized metal ion affinity chromatography. The identity of GATA4 protein was confirmed using western blotting and mass spectrometry. Using circular dichroism spectroscopy, it was demonstrated that the purified recombinant protein has maintained its secondary structure, primarily comprising of random coils and α-helices. Subsequently, this purified recombinant protein was applied to human cells and was found that it was non-toxic and able to enter the cells as well as translocate to the nucleus. Prospectively, this cell- and nuclear-permeant molecular tool is suitable for cell reprogramming experiments and can be a safe and effective therapeutic agent for cancer therapy.

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References

  1. Arceci RJ, King A, Simon MC, Orkin SH, Wilson DB (1993) Mouse GATA-4: a retinoic acid-inducible GATA-binding transcription factor expressed in endodermally derived tissues and heart. Mol Cell Biol 13:2235–2246

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Heikinheimo M, Scandrett JM, Wilson DB (1994) Localization of transcription factor GATA-4 to regions of the mouse embryo involved in cardiac development. Develop Biol 164:361–373

    Article  CAS  PubMed  Google Scholar 

  3. Viger RS, Guittot SM, Anttonen M, Wilson DB, Heikinheimo M (2008) Role of the GATA family of transcription factors in endocrine development, function, and disease. Mol Endocrinol 22:781–798

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kuo CT, Morrisey EE, Anandappa R, Sigrist K, Lu MM, Parmacek MS, Soudais C, Leiden JM (1997) GATA4 transcription factor is required for ventral morphogenesis and heart tube formation. Genes Dev 11:1048–1060

    Article  CAS  PubMed  Google Scholar 

  5. Molkentin JD, Lin Q, Duncan SA, Olson EN (1997) Requirement of the transcription factor GATA4 for heart tube formation and ventral morphogenesis. Genes Dev 11:1061–1072

    Article  CAS  PubMed  Google Scholar 

  6. Rojas A, Kong SW, Agarwal P, Gilliss B, Pu WT, Black BL (2008) GATA4 is a direct transcriptional activator of cyclin D2 and Cdk4 and is required for cardiomyocyte proliferation in anterior heart field-derived myocardium. Mol Cell Biol 28:5420–5431

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Zhao R, Watt AJ, Battle MA, Li J, Bondow BJ, Duncan SA (2008) Loss of both GATA4 and GATA6 blocks cardiac myocyte differentiation and results in acardia in mice. Develop Biol 317:614–619

    Article  CAS  PubMed  Google Scholar 

  8. Li J, Liu W-D, Yang Z-L, Yuan F, Xu L, Li R-G, Yang Y-Q (2014) Prevalence and spectrum of GATA4 mutations associated with sporadic dilated cardiomyopathy. Gene 548:174–181

    Article  CAS  PubMed  Google Scholar 

  9. Guo S, Zhang Y, Zhou T, Wang D, Weng Y, Chen Q, Ma J, Li Y-p, Wang L (2018) GATA4 as a novel regulator involved in the development of the neural crest and craniofacial skeleton via Barx1. Cell Death Differ 25:1996–2009

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Ieda M, Fu J-D, Delgado-Olguin P, Vedantham V, Hayashi Y, Bruneau BG, Srivastava D (2010) Direct reprogramming of fibroblasts into functional cardiomyocytes by defined factors. Cell 142:375–386

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Nam Y-J, Song K, Luo X, Daniel E, Lambeth K, West K, Hill JA, DiMaio JM, Baker LA, Bassel-Duby R (2013) Reprogramming of human fibroblasts toward a cardiac fate. Proc Natl Acad Sci 110:5588–5593

    Article  CAS  PubMed  Google Scholar 

  12. van den Bos E, van der Giessen W, Duncker D (2008) Cell transplantation for cardiac regeneration: where do we stand? Netherlands Heart J 16:88–95

    Article  Google Scholar 

  13. Gong Y, Zhang L, Zhang A, Chen X, Gao P, Zeng Q (2018) GATA4 inhibits cell differentiation and proliferation in pancreatic cancer. PLoS ONE 2018:13

    Google Scholar 

  14. Gao L, Hu Y, Tian Y, Fan Z, Wang K, Li H, Zhou Q, Zeng G, Hu X, Yu L (2019) Lung cancer deficient in the tumor suppressor GATA4 is sensitive to TGFBR1 inhibition. Nature Commun 10:1–15

    Article  Google Scholar 

  15. Han X, Tang J, Chen T, Ren G (2019) Restoration of GATA4 expression impedes breast cancer progression by transcriptional repression of ReLA and inhibition of NF-κB signaling. J Cell Biochem 120:917–927

    Article  CAS  PubMed  Google Scholar 

  16. Xiang Q, Zhou D, He X, Fan J, Tang J, Qiu Z, Zhang Y, Qiu J, Xu Y, Lai G (2019) The zinc finger protein GATA4 induces mesenchymal-to-epithelial transition and cellular senescence through the nuclear factor-κB pathway in hepatocellular carcinoma. J Gastroenterol Hepatol 34:2196–2205

    Article  CAS  PubMed  Google Scholar 

  17. Borgohain MP, Narayan G, Kumar HK, Dey C, Thummer RP (2018) Maximizing expression and yield of human recombinant proteins from bacterial cell factories for biomedical applications. In: Kumar P, Patra JK, Chandra P (eds) Advances in microbial biotechnology (pp. 447–486). Apple Academic Press

  18. Sommer CA, Mostoslavsky G (2013) The evolving field of induced pluripotency: recent progress and future challenges. J Cell Physiol 228:267–275

    Article  CAS  PubMed  Google Scholar 

  19. Serna N, Sánchez-García L, Unzueta U, Díaz R, Vázquez E, Mangues R, Villaverde A (2018) Protein-based therapeutic killing for cancer therapies. Trends Biotechnol 36:318–335

    Article  CAS  PubMed  Google Scholar 

  20. Borgohain MP, Haridhasapavalan KK, Dey C, Adhikari P, Thummer RP (2019) An insight into DNA-free reprogramming approaches to generate integration-free induced pluripotent stem cells for prospective biomedical applications. Stem Cell Rev Rep 15:286–313

    Article  CAS  PubMed  Google Scholar 

  21. Nezafat N, Sadraeian M, Rahbar MR, Khoshnoud MJ, Mohkam M, Gholami A, Banihashemi M, Ghasemi Y (2015) Production of a novel multi-epitope peptide vaccine for cancer immunotherapy in TC-1 tumor-bearing mice. Biologicals 43:11–17

    Article  CAS  PubMed  Google Scholar 

  22. O’Malley J, Woltjen K, Kaji K (2009) New strategies to generate induced pluripotent stem cells. Curr Opin Biotechnol 20:516–521

    Article  PubMed  Google Scholar 

  23. Kintzing JR, Interrante MVF, Cochran JR (2016) Emerging strategies for developing next-generation protein therapeutics for cancer treatment. Trends Pharmacol Sci 37:993–1008

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Khow O, Suntrarachun S (2012) Strategies for production of active eukaryotic proteins in bacterial expression system. Asian Pacific J Trop Biomed 2:159–162

    Article  CAS  Google Scholar 

  25. Wingfield PT (2015) Overview of the purification of recombinant proteins. Curr Protocols Protein Sci 80:611–6135

    Article  Google Scholar 

  26. Haridhasapavalan KK, Sundaravadivelu PK, Thummer RP (2020) Codon optimization, cloning, expression, purification and secondary structure determination of human ETS2 transcription factor. Mol Biotechnol 2020:1–10

    Google Scholar 

  27. Narayan G, Sundaravadivelu PK, Agrawal A, Gogoi R, Nagotu S, Thummer RP (2021) Soluble expression, purification, and secondary structure determination of human PDX1 transcription factor. Protein Express Purif 2021:105807

    Article  Google Scholar 

  28. Micsonai A, Wien F, Kernya L, Lee Y-H, Goto Y, Réfrégiers M, Kardos J (2015) Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopy. Proc Natl Acad Sci 112:E3095–E3103

    Article  CAS  PubMed  Google Scholar 

  29. Micsonai A, Wien F, Bulyáki É, Kun J, Moussong É, Lee Y-H, Goto Y, Réfrégiers M, Kardos J (2018) BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra. Nucleic Acids Res 46:W315–W322

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Burgess-Brown NA, Sharma S, Sobott F, Loenarz C, Oppermann U, Gileadi O (2008) Codon optimization can improve expression of human genes in Escherichia coli: A multi-gene study. Protein Expr Purif 59:94–102

    Article  CAS  PubMed  Google Scholar 

  31. Maertens B, Spriestersbach A, von Groll U, Roth U, Kubicek J, Gerrits M, Graf M, Liss M, Daubert D, Wagner R (2010) Gene optimization mechanisms: a multi-gene study reveals a high success rate of full-length human proteins expressed in Escherichia coli. Protein Sci 19:1312–1326

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Bosnali M, Edenhofer F (2008) Generation of transducible versions of transcription factors Oct4 and Sox2. Biol Chem 389:851–861

    Article  CAS  PubMed  Google Scholar 

  33. Braun P, Hu Y, Shen B, Halleck A, Koundinya M, Harlow E, LaBaer J (2002) Proteome-scale purification of human proteins from bacteria. Proc Natl Acad Sci 99:2654–2659

    Article  CAS  PubMed  Google Scholar 

  34. Münst B, Thier MC, Winnemöller D, Helfen M, Thummer RP, Edenhofer F (2016) Nanog induces suppression of senescence through downregulation of p27KIP1 expression. J Cell Sci 129:912–920

    PubMed  PubMed Central  Google Scholar 

  35. Peitz M, Münst B, Thummer RP, Helfen M, Edenhofer F (2014) Cell-permeant recombinant Nanog protein promotes pluripotency by inhibiting endodermal specification. Stem Cell Res 12:680–689

    Article  CAS  PubMed  Google Scholar 

  36. Bhat EA, Sajjad N, Sabir JS, Kamli MR, Hakeem KR, Rather IA, Bahieldin A (2020) Molecular cloning, expression, overproduction and characterization of human TRAIP Leucine zipper protein. Saudi J Biol Sci 27:1562–1565

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Stefan A, Calonghi N, Schipani F, Dal Piaz F, Sartor G, Hochkoeppler A (2018) Purification of active recombinant human histone deacetylase 1 (HDAC1) overexpressed in Escherichia coli. Biotech Lett 40:1355–1363

    Article  CAS  Google Scholar 

  38. Lili W, Chaozhan W, Xindu G (2006) Expression, renaturation and simultaneous purification of recombinant human stem cell factor in Escherichia coli. Biotech Lett 28:993–997

    Article  Google Scholar 

  39. Li X-H, Li Q, Jiang L, Deng C, Liu Z, Fu Y, Zhang M, Tan H, Feng Y, Shan Z (2015) Generation of functional human cardiac progenitor cells by high-efficiency protein transduction. Stem Cells Transl Med 4:1415–1424

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Galloway CA, Sowden MP, Smith HC (2003) Increasing the yield of soluble recombinant protein expressed in E. coli by induction during late log phase. Biotechniques 34:524–530

    Article  CAS  PubMed  Google Scholar 

  41. Ou J, Wang L, Ding X, Du J, Zhang Y, Chen H, Xu A (2004) Stationary phase protein overproduction is a fundamental capability of Escherichia coli. Biochem Biophys Res Commun 314:174–180

    Article  CAS  PubMed  Google Scholar 

  42. Sørensen HP, Mortensen KK (2005) Soluble expression of recombinant proteins in the cytoplasm of Escherichia coli. Microb Cell Fact 4:1

    Article  PubMed  PubMed Central  Google Scholar 

  43. Rabhi-Essafi I, Sadok A, Khalaf N, Fathallah DM (2007) A strategy for high-level expression of soluble and functional human interferon α as a GST-fusion protein in E. coli. Protein Eng Des Sel 20:201–209

    Article  CAS  PubMed  Google Scholar 

  44. San-Miguel T, Pérez-Bermúdez P, Gavidia I (2013) Production of soluble eukaryotic recombinant proteins in E. coli is favoured in early log-phase cultures induced at low temperature. Springerplus 2:89

    Article  PubMed  PubMed Central  Google Scholar 

  45. García-Fraga B, Da Silva AF, López-Seijas J, Sieiro C (2015) Optimized expression conditions for enhancing production of two recombinant chitinolytic enzymes from different prokaryote domains. Bioprocess Biosyst Eng 38:2477–2486

    Article  PubMed  Google Scholar 

  46. Araki Y, Hamafuji T, Noguchi C, Shimizu N (2012) Efficient recombinant production in mammalian cells using a novel IR/MAR gene amplification method. PLoS ONE 7:e41787

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Karpievitch YV, Polpitiya AD, Anderson GA, Smith RD, Dabney AR (2010) Liquid chromatography mass spectrometry-based proteomics: biological and technological aspects. Ann Appl Stat 4:1797

    Article  PubMed  PubMed Central  Google Scholar 

  48. Greenfield NJ (2006) Using circular dichroism spectra to estimate protein secondary structure. Nat Protoc 1:2876

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Kelly SM, Jess TJ, Price NC (2005) How to study proteins by circular dichroism. Biochim Biophys Acta Proteins Proteomics 1751:119–139

    Article  CAS  Google Scholar 

  50. Haridhasapavalan KK, Borgohain MP, Dey C, Saha B, Narayan G, Kumar S, Thummer RP (2019) An insight into non-integrative gene delivery approaches to generate transgene-free induced pluripotent stem cells. Gene 686:146–159

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank all the members of the Laboratory for Stem Cell Engineering and Regenerative Medicine (SCERM) for their critical reading and excellent support. The authors gratefully acknowledge the support of DBT Program Support (Prof. S.S. Ghosh), Department of Biosciences and Bioengineering, IIT Guwahati for their assistance in Circular Dichroism experiments. This work was supported by a research grant from Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India (Early Career Research Award; ECR/2015/000193) and IIT Guwahati Institutional Start-Up Grant.

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KKH was responsible for conception and design, collection and/or assembly of data, data analysis and interpretation, manuscript writing and final approval of the manuscript; PKS, SB, SHR, KR were responsible for collection and/or assembly of data, data analysis and interpretation and final editing and approval of the manuscript; RPT was responsible for conception and design, collection and/or assembly of data, data analysis and interpretation, manuscript writing, final approval of manuscript and financial support. All the authors gave consent for publication.

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Correspondence to Rajkumar P. Thummer.

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449_2021_2516_MOESM3_ESM.jpg

Fig. S1 Codon optimization analysis using Graphical codon usage analyzer. The bar graphs shown here are the codons (Codon number 51 onwards) of non-optimized and codon-optimized GATA4 gene sequences against relative adaptiveness values (details as explained in Fig. 1a legend). (JPG 4111 KB)

449_2021_2516_MOESM4_ESM.tif

Fig. S2 Expression analysis, purification and characterization of the recombinant GATA4 fusion protein. a Schematic diagram of human HTN-GATA4 insert (not drawn to scale). The GATA4 gene was fused with nucleotide sequences of His tag (H) for affinity chromatography-based purification followed by TAT (T) and NLS (N) and to facilitate cell penetration and nuclear translocation in mammalian cells, respectively. b Restriction digestion analysis was performed to confirm the successful cloning of human HTN-GATA4 insert into the protein expression vector. The synthetic gene insert was cloned in the protein expression vector, pET28a(+), using restriction endonucleases, NcoI, and XhoI. The resulting plasmid, pET28a(+)-HTN-GATA4 (in short HTN-GATA4) was then confirmed by restriction digestion using various restriction enzymes, as depicted in (a) and (b). c Soluble expression analysis of HTN-GATA4 protein, induced at two different temperatures. E. coli BL21(DE3) transformed with recombinant plasmid HTN-GATA4 was induced at the early log phase (OD600 = ~0.5) with 0.25 mM of IPTG at two different temperatures (37 °C for 2 hours, and 18 °C for 24 hours). Harvested cells were lysed by ultrasonication to obtain total cell lysate (L) fraction. These fractions were then centrifuged to obtain a pellet/insoluble (P) and a soluble (S) fractions. These fractions (L, P, and S) were run on SDS-PAGE with normalized protein loading concentration of 20 μg for L fractions. Equal volume corresponding to the respective L fraction was loaded for P and S fractions*. d Purification of recombinant HTN-GATA4 protein. E. coli BL21(DE3) transformed with recombinant plasmid HTN-GATA4 was induced at the early log phase (OD600 = ~0.5) with 0.25 mM of IPTG at 37 °C for 2 hours with continuous shaking at 180 rpm. Harvested cells were lysed by ultrasonication, and the expressed protein was purified under native conditions using Ni-NTA affinity chromatography. The purification samples were run on SDS-PAGE with normalized loading volume*. e Secondary structure determination for the purified recombinant HTN-GATA4 protein. The secondary structure was determined using far UV CD spectroscopy for the purified recombinant HTN-GATA4 protein in 20 mM PB (pH 8.0 at room temperature). The CD data obtained were then analyzed, and CD spectra have been plotted with Delta Epsilon (M-1 cm-1; Y-axis) against wavelength (nM; X-axis).*The resolved polyacrylamide gel was stained with Coomassie Brilliant Blue G-250 (top) or transferred to nitrocellulose membrane and performed western blotting with His antibody (bottom). NLS: nuclear localization signal/sequence; TAT: transactivator of transcription; His tag: polyhistidine (8X); M: Protein Marker (kDa); L: Total cell lysate; P: Pellet/insoluble cell fraction; S: Soluble cell fraction; F: Flow-through fraction; W1: Wash buffer 1; W2: Wash buffer 2; W3: Wash buffer 3; E: Elution; Ab: Antibody. (TIF 5633 KB)

449_2021_2516_MOESM5_ESM.tif

Fig. S3 Purification of human GATA4 fusion protein under mild denaturing conditions. E. coli BL21(DE3) transformed with recombinant plasmid GATA4-NTH was induced under optimal expression conditions (temperature: 37 °C; cell density: OD600 = ~0.5; IPTG concentration: 0.25 mM; induction time: 2 hours). Harvested cells were lysed by ultrasonication and clarified by centrifugation. Then, the clarified soluble cell fraction was treated with different concentrations of urea (0/2/4 M) at 4 °C for 12 hours with continuous shaking followed by purification using Ni-NTA affinity chromatography. a Identification of the minimal denaturant concentration required for the maximum purification yield. b Purification of GATA4-NTH under mild denaturing conditions using an optimal concentration of urea (4 M). The purification samples were run on SDS-PAGE with normalized loading volume. The resolved polyacrylamide gel was stained with Coomassie Brilliant Blue G-250 (top) or transferred to nitrocellulose membrane and performed western blotting with Histidine antibody (bottom). *Truncated GATA4-NTH protein. c Secondary structure determination for the purified recombinant GATA4-NTH protein under mild denaturing conditions. The secondary structure was determined using far UV CD spectroscopy for the purified and dialyzed recombinant GATA4-NTH protein in 20 mM PB (pH 8.0 at room temperature). The CD data obtained were then analyzed, and CD spectra have been plotted with wavelength (nM; X-axis) against Delta Epsilon (M-1 cm-1; Y-axis). M: Protein Marker (kDa); L: Total cell lysate; S: Soluble cell fraction; F: Flow-through fraction; W1: Wash buffer 1; W2: Wash buffer 2; W3: Wash buffer 3; E: Elution; Ab: Antibody (TIF 4103 KB)

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Haridhasapavalan, K.K., Sundaravadivelu, P.K., Bhattacharyya, S. et al. Generation of cell-permeant recombinant human transcription factor GATA4 from E. coli. Bioprocess Biosyst Eng 44, 1131–1146 (2021). https://doi.org/10.1007/s00449-021-02516-8

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