Content deleted Content added
Citation bot (talk | contribs) Add: url. | Use this bot. Report bugs. | Suggested by AwfulReader | Category:Molecular biology | #UCB_Category 99/686 |
m →Overview: Improved the English. |
||
Line 2:
{{good article}}
'''Transcriptomics technologies''' are the techniques used to study an organism's [[transcriptome]], the sum of all of its [[RNA|RNA transcripts]]. The information content of an organism is recorded in the DNA of its [[genome]] and [[Gene expression|expressed]] through [[Transcription (genetics)|transcription]]. Here, [[mRNA]] serves as a transient intermediary molecule in the information network, whilst [[non-coding RNA]]s perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a [[cell (biology)|cell]]. Transcriptomics technologies provide a broad account of which cellular processes are active and which are dormant.
A major challenge in molecular biology
The first attempts to study whole transcriptomes began in the early 1990s. Subsequent technological advances since the late 1990s have repeatedly transformed the field and made transcriptomics a widespread discipline in biological sciences. There are two key contemporary techniques in the field: [[microarray]]s, which quantify a set of predetermined sequences, and [[RNA-Seq]], which uses [[DNA sequencing#Next-generation methods|high-throughput sequencing]] to record all transcripts. As the technology improved, the volume of data produced by each transcriptome experiment increased. As a result, data analysis methods have steadily been adapted to more accurately and efficiently analyse increasingly large volumes of data. Transcriptome databases have grown and increased in utility as more transcriptomes are collected and shared by researchers. It would be almost impossible to interpret the information contained in a transcriptome without the context of previous experiments.
| |||