Transcriptomics and Proteomics Overview

A series of vocabulary flashcards summarizing key concepts from the lecture on transcriptomics and proteomics.

Transcriptome

All mRNAs present in a cell, tissue, or organism.

mRNA quantification

Measurement of mRNA levels using techniques like microarrays or RNA-seq.

Microarrays

Tools used to quantify mRNAs with antisense spots for thousands of genes.

cDNA

Complementary DNA synthesized from mRNA, used in various techniques for visualization.

Fluorescent labels

Chemical compounds used to visualize bound cDNA in transcriptomics.

RNA-seq

Next generation sequencing technique that allows for the sequencing of all mRNAs at once.

Proteome

All polypeptides present in a cell, tissue, or organism.

2-D gel electrophoresis

Technique to separate and visualize hundreds of polypeptides simultaneously.

Mass spectrometry

Method to identify proteins by comparing fragment mass profiles to a database.

Affinity capture

Technique used to define the interactome through protein interactions.

Interactome

The complete set of molecular interactions in a particular cell.

Protein microarray

Platform to visualize thousands of proteins simultaneously using specific antibodies.

Next generation sequencing (NGS)

Advanced sequencing technology allowing rapid sequencing of DNA or RNA.

Antisense spots

Regions on a microarray that bind to complementary mRNA sequences.

Visualization

The process of making data interpretable through graphical or chemical methods.

Quantitative measurement

The process of determining the quantity or concentration of mRNA or protein.

Electrophoresis

Method for separating molecules based on size and charge.

Polypeptides

Chains of amino acids that make up proteins.

Fragment mass profile

Data used to identify proteins based on their mass after fragmentation.

Database comparison

The process of matching experimental data against known standards in bioinformatics.

Specific antibodies

Antibodies designed to bind to a particular target protein.

High-throughput techniques

Methods that allow for rapid and simultaneous analysis of large numbers of samples.

Genomic analysis

Study of the structure, function, and evolution of genomes.

Biological replicates

Repeated experiments or observations in a study to ensure accuracy.

Technical replicates

Duplicates of the same measurement to assess variability.

Statistical validation

Methods used to assess the reliability of experimental results.

Bioinformatics

Field of study that uses computational tools to analyze biological data.

Data interpretation

The process of making sense of collected data through analysis.

Functional genomics

Study of gene functions and interactions.

Protein identification

The process of determining what proteins are present in a sample.

Cellular processes

Biochemical reactions and mechanisms occurring within cells.

Proteomic strategies

Approaches and methods used to analyze the proteome of organisms.

Experimental design

Planning how to conduct a study to ensure valid results.

Sample preparation

Preparation steps taken before analysis to enhance the quality of data.

Multidimensional analysis

Techniques that analyze data across multiple dimensions or variables.