CoChat
Sign Up
Cited by 19

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

GATA-2 inhibits transforming growth factor-β signaling pathway through interaction with Smad4.

Dong, Xiao-Ming, Yin, Rong-Hua, Yang, Yang, Feng, Zhi-Wei, Ning, Hong-Mei, Dong, Lan, Zheng, Wei-Wei, Tang, Liu-jun, Wang, Jian, Jia, Yu-Xin, Jiang, Yi-Nan, Liu, En-Dong, Chen, Hui, Zhan, Yi-Qun, Yu, Miao, Ge, Chang-Hui, Li, Chang-Yan, Yang, Xiao-Ming·2014·Cellular Signalling
DOI 10.1016/j.cellsig.2014.01.028
Open this paper in CoChat — free account

Abstract

GATA-2, a member of zinc finger GATA transcription factor family, plays key role in the hematopoietic stem cells self-renewal and differentiation. The transforming growth factor-β (TGFβ) signaling pathway is a major signaling network that controls cell proliferation, differentiation and tumor suppression. Here we found that GATA-2 negatively regulated TGF-β signaling pathway in Smad4-dependent manner. GATA-2 specifically interacts with Smad4 with its N-terminal while the zinc finger domain of GATA-2 is essential for negative regulation of TGFβ. Although GATA-2 did not affect the phosphorylation of Smad2/3 and the complex Smad2/3/4 formation in response to TGFβ, the DNA binding activity of Smad4 was decreased significantly by GATA-2 overexpression. Overexpression of GATA-2 in K562 cells led to reduced TGFβ-induced erythroid differentiation while knockdown of GATA-2 enhanced TGFβ-induced erythroid differentiation. All these results suggest that GATA-2 is a novel negative regulator of TGFβ signal pathway.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.cellsig.2014.01.028

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Show all 1 references

Research works printed but not linked: 32

  1. Rodrigues, 2012, Int. J. Biochem. Cell Biol., 44, 457, 10.1016/j.biocel.2011.12.004 · DOI
  2. Vicente, 2012, Crit. Rev. Oncol. Hematol., 82, 1, 10.1016/j.critrevonc.2011.04.007 · DOI
  3. Heyworth, 1999, Genes Dev., 13, 1847, 10.1101/gad.13.14.1847 · DOI
  4. Tsai, 1994, Nature, 371, 221, 10.1038/371221a0 · DOI
  5. Ohneda, 2002, Acta Haematol., 108, 237, 10.1159/000065660 · DOI
  6. Tsai, 1997, Blood, 89, 3636, 10.1182/blood.V89.10.3636 · DOI
  7. Kitajima, 2002, EMBO J., 21, 3060, 10.1093/emboj/cdf301 · DOI
  8. Briegel, 1993, Genes Dev., 7, 1097, 10.1101/gad.7.6.1097 · DOI
  9. Perry, 2002, Eur. J. Biochem., 269, 3607, 10.1046/j.1432-1033.2002.02999.x · DOI
  10. Ferreira, 2005, Mol. Cell. Biol., 25, 1215, 10.1128/MCB.25.4.1215-1227.2005 · DOI
  11. Fan, 2002, J. Immunol., 168, 755, 10.4049/jimmunol.168.2.755 · DOI
  12. Dickson, 1995, Development, 121, 1845, 10.1242/dev.121.6.1845 · DOI · Paper page
  13. Zermati, 2000, Exp. Hematol., 28, 256, 10.1016/S0301-472X(99)00155-1 · DOI
  14. Zermati, 2000, Exp. Hematol., 28, 885, 10.1016/S0301-472X(00)00488-4 · DOI
  15. Bai, 2010, Cell, 142, 133, 10.1016/j.cell.2010.05.028 · DOI
  16. Sato, 2008, Cancer Sci., 99, 1407, 10.1111/j.1349-7006.2008.00842.x · DOI
  17. Wang, 2011, Mol. Syst. Biol., 7, 536, 10.1038/msb.2011.67 · DOI
  18. Itoh, 2000, Eur. J. Biochem., 267, 6954, 10.1046/j.1432-1327.2000.01828.x · DOI
  19. Ozawa, 2001, Blood, 98, 2116, 10.1182/blood.V98.7.2116 · DOI
  20. Fukuchi, 2001, Oncogene, 20, 704, 10.1038/sj.onc.1204142 · DOI
  21. Massague, 2000, Genes Dev., 14, 627, 10.1101/gad.14.6.627 · DOI
  22. Akiyoshi, 1999, J. Biol. Chem., 274, 35269, 10.1074/jbc.274.49.35269 · DOI
  23. Erickson, 2009, Mol. Biol. Cell, 20, 1509, 10.1091/mbc.E08-08-0836 · DOI
  24. Choi, 2005, Mol. Cell. Biochem., 271, 23, 10.1007/s11010-005-3456-7 · DOI · Paper page
  25. Chiba, 2003, Proc. Natl. Acad. Sci. U. S. A., 100, 15577, 10.1073/pnas.2536757100 · DOI
  26. Moustakas, 2001, J. Cell Sci., 114, 4359, 10.1242/jcs.114.24.4359 · DOI
  27. Fortunel, 2000, Blood, 96, 2022, 10.1182/blood.V96.6.2022 · DOI
  28. Kamesaki, 1996, Blood, 87, 999, 10.1182/blood.V87.3.999.bloodjournal873999 · DOI
  29. Attisano, 2002, Science, 296, 1646, 10.1126/science.1071809 · DOI
  30. Wakefield, 2002, Curr. Opin. Genet. Dev., 12, 22, 10.1016/S0959-437X(01)00259-3 · DOI
  31. Massague, 2000, Nat. Rev. Mol. Cell Biol., 1, 169, 10.1038/35043051 · DOI
  32. Kumar, 2012, Cell, 149, 642, 10.1016/j.cell.2012.02.059 · DOI

Cited by

Sorted by citations

See all 19

Metadata

Authors
Dong, X.-M., Yin, R.-H., Yang, Y., Feng, Z.-W., Ning, H.-M., Dong, L., Zheng, W.-W., Tang, L.-J., Wang, J., Jia, Y.-X., Jiang, Y.-N., Liu, E.-D., Chen, H., Zhan, Y.-Q., Yu, M., Ge, C.-H., Li, C.-Y., & Yang, X.-M.
Venue
Cellular Signalling
Publisher
Elsevier BV
Published
2014-05
Volume
26
Issue
5
Pages
1089-1097
ISSN
0898-6568
DOI
10.1016/j.cellsig.2014.01.028
Cited by
19
References
1
Language
en
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: GATA-2 inhibits transforming growth factor-β signaling pathway through interaction with Smad4. https://app.cochat.ai/papers/10.1016/j.cellsig.2014.01.028
The paper
Dong, X.-M., Yin, R.-H., Yang, Y., Feng, Z.-W., Ning, H.-M., Dong, L., Zheng, W.-W., Tang, L.-J., Wang, J., Jia, Y.-X., Jiang, Y.-N., Liu, E.-D., Chen, H., Zhan, Y.-Q., Yu, M., Ge, C.-H., Li, C.-Y., & Yang, X.-M. (2014). GATA-2 inhibits transforming growth factor-β signaling pathway through interaction with Smad4. Cellular Signalling. https://doi.org/10.1016/j.cellsig.2014.01.028