Pascovici D[au] - Search Results

Year	Number of Results
2006	1
2009	1
2010	3
2011	3
2012	5
2013	5
2014	3
2015	5
2016	8
2017	7
2018	3
2019	8
2020	4
2021	3
2022	1
2023	1

1

Clinically Relevant Post-Translational Modification Analyses-Maturing Workflows and Bioinformatics Tools.

Pascovici D, Wu JX, McKay MJ, Joseph C, Noor Z, Kamath K, Wu Y, Ranganathan S, Gupta V, Mirzaei M. Pascovici D, et al. Int J Mol Sci. 2018 Dec 20;20(1):16. doi: 10.3390/ijms20010016. Int J Mol Sci. 2018. PMID: 30577541 Free PMC article. Review.

2

Practical Integration of Multi-Run iTRAQ Data.

Pascovici D, Song X, Wu J, Zaw T, Molloy M. Pascovici D, et al. Methods Mol Biol. 2019;1977:199-215. doi: 10.1007/978-1-4939-9232-4_13. Methods Mol Biol. 2019. PMID: 30980330

3

The Art of Validating Quantitative Proteomics Data.

Handler DC, Pascovici D, Mirzaei M, Gupta V, Salekdeh GH, Haynes PA. Handler DC, et al. Among authors: pascovici d. Proteomics. 2018 Dec;18(23):e1800222. doi: 10.1002/pmic.201800222. Epub 2018 Nov 25. Proteomics. 2018. PMID: 30352137

4

Proteomic Analysis of Whole Blood Using Volumetric Absorptive Microsampling for Precision Medicine Biomarker Studies.

Molloy MP, Hill C, O'Rourke MB, Chandra J, Steffen P, McKay MJ, Pascovici D, Herbert BR. Molloy MP, et al. Among authors: pascovici d. J Proteome Res. 2022 Apr 1;21(4):1196-1203. doi: 10.1021/acs.jproteome.1c00971. Epub 2022 Feb 15. J Proteome Res. 2022. PMID: 35166117

5

Application of WGCNA and PloGO2 in the Analysis of Complex Proteomic Data.

Wu JX, Pascovici D, Wu Y, Walker AK, Mirzaei M. Wu JX, et al. Among authors: pascovici d. Methods Mol Biol. 2023;2426:375-390. doi: 10.1007/978-1-0716-1967-4_17. Methods Mol Biol. 2023. PMID: 36308698

6

Pollen development in cotton (Gossypium hirsutum) is highly sensitive to heat exposure during the tetrad stage.

Masoomi-Aladizgeh F, Najeeb U, Hamzelou S, Pascovici D, Amirkhani A, Tan DKY, Mirzaei M, Haynes PA, Atwell BJ. Masoomi-Aladizgeh F, et al. Among authors: pascovici d. Plant Cell Environ. 2021 Jul;44(7):2150-2166. doi: 10.1111/pce.13908. Epub 2020 Nov 3. Plant Cell Environ. 2021. PMID: 33047317

7

Protein profiles distinguish stable and progressive chronic lymphocytic leukemia.

Huang PY, Mactier S, Armacki N, Giles Best O, Belov L, Kaufman KL, Pascovici D, Mulligan SP, Christopherson RI. Huang PY, et al. Among authors: pascovici d. Leuk Lymphoma. 2016 May;57(5):1033-43. doi: 10.3109/10428194.2015.1094692. Epub 2015 Nov 16. Leuk Lymphoma. 2016. PMID: 26422656

8

iSwathX: an interactive web-based application for extension of DIA peptide reference libraries.

Noor Z, Wu JX, Pascovici D, Mohamedali A, Molloy MP, Baker MS, Ranganathan S. Noor Z, et al. Among authors: pascovici d. Bioinformatics. 2019 Feb 1;35(3):538-539. doi: 10.1093/bioinformatics/bty660. Bioinformatics. 2019. PMID: 30052774

9

Proteomic Responses to Drought Vary Widely Among Eight Diverse Genotypes of Rice (Oryza sativa).

Hamzelou S, Pascovici D, Kamath KS, Amirkhani A, McKay M, Mirzaei M, Atwell BJ, Haynes PA. Hamzelou S, et al. Among authors: pascovici d. Int J Mol Sci. 2020 Jan 6;21(1):363. doi: 10.3390/ijms21010363. Int J Mol Sci. 2020. PMID: 31935846 Free PMC article.

10

Proteomes of Leaf-Growing Zones in Rice Genotypes with Contrasting Drought Tolerance.

Wu Y, Mirzaei M, Pascovici D, Haynes PA, Atwell BJ. Wu Y, et al. Among authors: pascovici d. Proteomics. 2019 May;19(9):e1800310. doi: 10.1002/pmic.201800310. Epub 2019 Apr 18. Proteomics. 2019. PMID: 30891909

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