iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings.

Ren W, Shi Z, Zhou M, Zhao B, Li H, Wang J, Liu Y, Zhao J

Open source

DOI: 10.1038/s41598-022-13110-7
Published: 2022 Jun 9
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-022-13110-7,
  title = {iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings.},
  author = {Ren W and Shi Z and Zhou M and Zhao B and Li H and Wang J and Liu Y and Zhao J},
  year = {2022},
  journal = {Scientific reports},
  doi = {10.1038/s41598-022-13110-7},
  url = {https://doi.org/10.1038/s41598-022-13110-7}
}

RIS

TY  - JOUR
TI  - iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings.
AU  - Ren W
AU  - Shi Z
AU  - Zhou M
AU  - Zhao B
AU  - Li H
AU  - Wang J
AU  - Liu Y
AU  - Zhao J
PY  - 2022
JO  - Scientific reports
DO  - 10.1038/s41598-022-13110-7
UR  - https://doi.org/10.1038/s41598-022-13110-7
ER  -

APA

W, R., Z, S., M, Z., B, Z., H, L., J, W., Y, L., & J, Z. (2022). iTRAQ-based quantitative proteomic analysis provides insight into the drought-stress response in maize seedlings.. Scientific reports. https://doi.org/10.1038/s41598-022-13110-7

Source records

pubmed · retrieved 2026-09-27T09:29:02.136Z
europe-pmc · retrieved 2026-09-27T09:29:02.142Z
doaj · retrieved 2026-09-27T09:29:02.168Z