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Supplementary data table presenting predicted gene targets of differentially expressed miRNAs in pitaya with associated scores and cross-species protein annotations.
Document type:
Supplementary table
Subject:
Predicted target genes of differentially expressed miRNAs
Organism:
Pitaya (Hylocereus spp.)
Content:
miRNA names, Gene IDs, prediction scores, gene annotations
Data type:
Bioinformatic target prediction results
Referenced species in annotations:
Arabidopsis thaliana; Oryza sativa subsp. japonica; Homo sapiens; Dictyostelium discoideum; Spinacia oleracea; Cucurbita maxima; Citrus unshiu; Xenopus laevis; Mentha piperita; Ashbya gossypii; Solanum peruvianum; Synechocystis sp.
Identifiers included:
UniProt accession numbers; gene symbols; protein names
Score range:
0–4
Field structure:
miRNA name; Gene ID; Score; Gene annotation
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2025
Region / City:
Selangor, Malaysia
Topic:
Food Processing, Antioxidants
Document Type:
Research Article
Institution:
Food Science and Technology Research Centre, MARDI
Author:
Not specified
Target Audience:
Researchers, Food Scientists, Industry Professionals
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Methodology:
Experimental, Laboratory Testing
Keywords:
Pitaya, pasteurization, antioxidant capacity, viscosity, colour, phenolic content
Context:
The document is a research article focusing on the effect of different pasteurization times on the physical, antioxidant, and microbiological properties of frozen pitaya pulp, assessing its suitability for use in food formulations.
Year:
2026
Institution:
Red Pitaya Labs
Course:
ECE2170
Topic:
Digital Signal Processing, Filter Analysis
Type of Document:
Laboratory Manual / Lab Instructions
Author:
Red Pitaya Education Team
Target Audience:
Electrical Engineering students
Equipment Required:
Two Red Pitaya boards, MATLAB software
Filter Types:
Finite Impulse Response (FIR), Infinite Impulse Response (IIR)
Tasks Included:
Running sum filter analysis, resonant filter analysis, filter cascade analysis
Mathematical Tools:
Difference equations, z-domain transfer functions, pole-zero plots, frequency response plots
Software Analysis:
MATLAB scripts for simulation and plotting
Hardware Analysis:
Red Pitaya LTI DSP workbench
Year:
2021
Region / city:
Queensland, Australia
Topic:
miRNA expression analysis, pleural effusions, extracellular vesicles
Document type:
Research article
Institution:
The University of Queensland Thoracic Research Centre, The Prince Charles Hospital
Authors:
Tian Mun Chee, Caeli J. Zahra, Kwun M. Fong, Ian A. Yang, Rayleen V. Bowman
Target audience:
Researchers in molecular biology, oncology
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
Not provided
Region / City:
Not provided
Theme:
miRNAs, LSCC
Document Type:
Research Table
Organization / Institution:
Not provided
Author:
Not provided
Target Audience:
Researchers in genomics, oncology
Effective Period:
Not provided
Approval Date:
Not provided
Modification Date:
Not provided
Context:
Research table presenting differentially expressed miRNAs in laryngeal squamous cell carcinoma (LSCC).
Year:
2021
Region / city:
Global
Topic:
MicroRNAs, PM2.5, cancer progression
Document type:
Research article
Organization / institution:
Various research institutions
Author:
Multiple authors
Target audience:
Researchers, healthcare professionals, academics
Period of action:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Note:
Contextual description
Title:
Table S1. Altered or dysregulated miRNAs reported in human DN studies
Subject:
MicroRNA expression changes in human diabetic nephropathy
Condition:
Diabetic nephropathy (DN)
Molecules analyzed:
MicroRNAs (miRNAs)
Parameters:
Upregulated and downregulated expression
Data type:
Summary table
Sources:
Published peer-reviewed studies
Number of references:
62
Publication types cited:
Journal articles
Research field:
Nephrology and molecular biology
Population:
Human subjects
Year:
2018–2020
Research field:
Molecular biology, oncology
Document type:
Scientific table
Source:
Peer-reviewed journals
Authors:
Dora-Luz Manzanarez-Ozuna, Everardo Gutiérrez-López, Xiao B, Zhang W, Liu S, Wang H, et al.
Target audience:
Researchers in cancer biology and molecular genetics
Organism:
Human
miRNA studied:
hsa-miR-205, hsa-miR-184, hsa-miR-452, hsa-miR-211, hsa-miR-29b, hsa-miR-203, hsa-miR-16, hsa-miR-140, hsa-miR-181d, hsa-miR-143, hsa-miR-34c, hsa-miR-101, hsa-miR-625, has-miR-141
Applications:
Analysis of miRNA function in tumor progression, apoptosis, migration, and prognosis
References:
Multiple peer-reviewed publications from 2009 to 2020
Note:
Year
Year:
2026
Region / City:
N/A
Subject:
Differential gene expression analysis
Document type:
Scientific table
Organization / Institution:
N/A
Author:
N/A
Target audience:
Researchers in genomics, molecular biology
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
Not provided
Region / City:
Not provided
Theme:
miRNAs, LSCC
Document Type:
Research Table
Organization / Institution:
Not provided
Author:
Not provided
Target Audience:
Researchers in genomics, oncology
Effective Period:
Not provided
Approval Date:
Not provided
Modification Date:
Not provided
Context:
Research table presenting differentially expressed miRNAs in laryngeal squamous cell carcinoma (LSCC).
Document type:
Supplementary scientific table
Study focus:
Differentially expressed proteins in Nc-1 and ΔNcROP5
Analysis type:
KEGG pathway enrichment analysis
Database:
KEGG
Significance threshold:
P≤0.05
Number of enriched pathways:
5
Pathways identified:
Mismatch repair; SNARE interactions in vesicular transport; Glycosylphosphatidylinositol (GPI)-anchor biosynthesis; ABC transporters; RNA degradation
Data fields:
KEGG pathway; ID; Input number; Background number; P-value; Gene name
Gene identifiers:
NCLIV locus tags
Year:
2026
Region / City:
Not specified
Theme:
Gene expression analysis
Document Type:
Research data
Author:
Not specified
Target Audience:
Researchers in molecular biology and pharmacology
Period of Action:
Not specified
Approval Date:
Not specified
Date of Modifications:
Not specified
Year:
2026
Region:
Not specified
Subject:
Gene expression analysis in ovarian cancer
Document type:
Supplementary table
Institution:
Not specified
Authors:
Not specified
Target audience:
Researchers in oncology and genomics
Data type:
Upregulated and downregulated DEGs
Sample type:
Normal and early ovarian cancer tissue samples
Analysis method:
Differential gene expression profiling
Number of genes listed:
Extensive gene list with DEGs
Year:
N/A
Region / city:
N/A
Topic:
Gene expression analysis, cancer research
Document type:
Research data
Organization:
N/A
Author:
N/A
Target audience:
Researchers, geneticists, oncologists
Effective period:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
2018–2020
Research field:
Molecular biology, oncology
Document type:
Scientific table
Source:
Peer-reviewed journals
Authors:
Dora-Luz Manzanarez-Ozuna, Everardo Gutiérrez-López, Xiao B, Zhang W, Liu S, Wang H, et al.
Target audience:
Researchers in cancer biology and molecular genetics
Organism:
Human
miRNA studied:
hsa-miR-205, hsa-miR-184, hsa-miR-452, hsa-miR-211, hsa-miR-29b, hsa-miR-203, hsa-miR-16, hsa-miR-140, hsa-miR-181d, hsa-miR-143, hsa-miR-34c, hsa-miR-101, hsa-miR-625, has-miR-141
Applications:
Analysis of miRNA function in tumor progression, apoptosis, migration, and prognosis
References:
Multiple peer-reviewed publications from 2009 to 2020
Table number:
1
Subject:
Differential gene expression
Academic field:
Molecular biology / Genomics
Data type:
List of differentially expressed genes (DEGs)
Categories:
Common up-regulated genes; Common down-regulated genes
Biological entities:
Human gene symbols
Content structure:
Two-column gene list comparing up-regulated and down-regulated DEGs
Number of up-regulated genes:
67
Number of down-regulated genes:
24
Purpose:
Presentation of genes with increased or decreased expression in a comparative analysis
Source type:
Scientific research data table