Ryan Traband

ORCID: 0000-0003-2340-6348
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Leaf Properties and Growth Measurement
  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • Plant biochemistry and biosynthesis
  • Metabolomics and Mass Spectrometry Studies
  • RNA modifications and cancer
  • Genetic Mapping and Diversity in Plants and Animals
  • Cocoa and Sweet Potato Agronomy
  • Remote Sensing in Agriculture
  • Plant Gene Expression Analysis
  • Phytoplasmas and Hemiptera pathogens
  • Plant Reproductive Biology
  • Plant Diversity and Evolution
  • Genetics and Plant Breeding
  • Plant Physiology and Cultivation Studies
  • Genetic and phenotypic traits in livestock
  • Ecology and Vegetation Dynamics Studies
  • Plant and animal studies

University of California, Riverside
2020-2025

MicroRNAs (miRNAs), which play critical roles in gene regulatory networks, have emerged as promising diagnostic and prognostic biomarkers for human cancer. In particular, circulating miRNAs that are secreted into circulation exist remarkably stable forms, enormous potential to be leveraged non-invasive early cancer detection. Novel user-friendly tools desperately needed facilitate data mining of the vast amount miRNA expression from The Cancer Genome Atlas (TCGA) large-scale profiling...

10.1093/nar/gkab784 article EN cc-by-nc Nucleic Acids Research 2021-09-08

Citrus fruits are valued not only for their nutritional benefits but also rich phytochemical content. Metabolomics has emerged as a comprehensive technique assessing the chemical composition of fruits. The botanical connection between leaves, flowers, and is reflected in both structure composition, particularly flow nutrients plant organs. We introduced new logarithm ratio-based approach to compare metabolite profiles leaves. hypothesize that this method allows analysis multiple citrus...

10.3390/plants14101406 article EN cc-by Plants 2025-05-08

Photosynthesis-related traits, encompassing aspects such as absorbance, chlorophyll content, fluorescence, quenching ratio of incoming light, and photochemical efficiency, are pivotal characteristics directly related to photosynthesis carbon gain with important implications for overall tree physiology fruit production. In this study, we conducted an examination 71 citrus accessions varieties, utilizing over 56,000 single nucleotide polymorphisms 37 leaf reflectance parameters. Pairwise...

10.48130/frures-0024-0013 article EN cc-by Fruit Research 2024-01-01

This study utilized the Fourier-based method to analyze morphology of over 4000 leaves from more than 190 accessions selected Givaudan Citrus Variety Collection at University California Riverside, one world’s most diverse collections citrus and closely related genera. Our analysis revealed significant variations in leaf among major species groups, hybrid varieties produced through breeding exhibited intermediate compared their parental species. We found a positive correlation between area...

10.3390/horticulturae9070793 article EN cc-by Horticulturae 2023-07-12

The measurement of leaf morphometric parameters from digital images can be time-consuming or restrictive when using image analysis softwares. Multiple Leaf Sample Extraction System (MuLES) is a new tool that enables high-throughput shape with minimal user input prerequisites, such as coding knowledge modification.

10.1002/aps3.11513 article EN cc-by-nc Applications in Plant Sciences 2023-03-01

ABSTRACT MicroRNAs (miRNAs), which play critical roles in gene regulatory networks, have emerged as promising diagnostic and prognostic biomarkers for human cancer. In particular, circulating miRNAs that are secreted into circulation exist remarkably stable forms, enormous potential to be leveraged non-invasive early cancer detection. Novel user-friendly tools desperately needed facilitate data mining of the vast amount miRNA expression from The Cancer Genome Atlas (TCGA) large-scale...

10.1101/2020.10.04.325670 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-10-05

Abstract Our recent algorithm, Hapi , infers chromosome-scale haplotypes using genomic data of a small number single gametes. Its advanced version, IIIandMe is proposed here to achieve comparable phasing accuracy with as few three gametes, pushing the analysis its limit. The new method validated simulation and citrus gamete dataset. rapid advances in genotyping technologies promise broad application disclosing important genetic information.

10.1101/2022.12.07.519546 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-12-12
Coming Soon ...