An Integrated Data-Mining Strategy via Transcriptomics and DIA Quantitative Proteomics to Unveil Chemical Attribution Signature Peptides for Tracing Origins of Castor Beans.

Qin L, Zhao Y, Tan M, Tan D, Chen J, Xue J, Xie J, Guo L

Open source

DOI
10.1021/acs.analchem.6c00346
Published
2026 Jun 2
Container
Analytical chemistry
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1021/acs.analchem.6c00346,
  title = {An Integrated Data-Mining Strategy via Transcriptomics and DIA Quantitative Proteomics to Unveil Chemical Attribution Signature Peptides for Tracing Origins of Castor Beans.},
  author = {Qin L and Zhao Y and Tan M and Tan D and Chen J and Xue J and Xie J and Guo L},
  year = {2026},
  journal = {Analytical chemistry},
  doi = {10.1021/acs.analchem.6c00346},
  url = {https://doi.org/10.1021/acs.analchem.6c00346}
}

RIS

TY  - JOUR
TI  - An Integrated Data-Mining Strategy via Transcriptomics and DIA Quantitative Proteomics to Unveil Chemical Attribution Signature Peptides for Tracing Origins of Castor Beans.
AU  - Qin L
AU  - Zhao Y
AU  - Tan M
AU  - Tan D
AU  - Chen J
AU  - Xue J
AU  - Xie J
AU  - Guo L
PY  - 2026
JO  - Analytical chemistry
DO  - 10.1021/acs.analchem.6c00346
UR  - https://doi.org/10.1021/acs.analchem.6c00346
ER  - 

APA

L, Q., Y, Z., M, T., D, T., J, C., J, X., J, X., & L, G. (2026). An Integrated Data-Mining Strategy via Transcriptomics and DIA Quantitative Proteomics to Unveil Chemical Attribution Signature Peptides for Tracing Origins of Castor Beans.. Analytical chemistry. https://doi.org/10.1021/acs.analchem.6c00346

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