Author

J. Colazo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:plant (other)· 2 Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:mouse· 1

Frequent Co-Authors

a. a. rodriguez· 2 shared J. M. Vilas· 2 shared S. J. Maiale· 2 shared A. Cavnar· 1 shared A. Livore· 1 shared C. DeJulius· 1 shared C. Duvall· 1 shared D. L. Michell· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersPlant Biology

a. a. rodriguez

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Structural Optimization of siRNA Conjugates for Albumin Binding Achieves Effective MCL1-Targeted Cancer Therapy

E. Hoogenboezem, S. S. Patel, A. Cavnar, J. Lo, L. Babb, N. Francini, P. Patil, J. Colazo, D. L. Michell, V. Sanchez, J. McCune, J. Ma, C. DeJulius, L. Lee, J. Rosch, , C. Duvall

This paper optimizes siRNA conjugates for albumin binding to enhance tumor delivery and efficacy in cancer therapy, achieving 80% MCL1 silencing and improved survival in breast cancer models.

bioRxiv · Feb 14, 2023 · PreprintBioengineering

Field and genetic evidence support the photosynthetic performance index (PIABS) as an indicator of rice grain yield

a. a. rodriguez, J. M. Vilas, G. D. Sartore, R. Bezus, J. Colazo, S. J. Maiale

The paper identifies PIABS as a predictor of rice grain yield using field data and genetic analysis of haplotypes linked to photosynthetic performance.

bioRxiv · Feb 8, 2023Plant Biology

Genetic structure of Photosystem II functionality in rice unraveled by GWAS analysis

J. M. Vilas, E. Burgos, M. L. Puig, J. Colazo, A. Livore, O. A. Ruiz, F. Carrari, A. A. Rodriguez, S. J. Maiale

The paper uses GWAS to identify genetic variants associated with Photosystem II functionality in rice under different environmental conditions, finding 110 significant SNPs and 69 QTLs.

bioRxiv · Sep 28, 2020 · PreprintPlant Biology