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life science Maturity 11-13

Your body has many tiny parts. These parts use special bits to work. These bits change all the time. They help you grow and stay well. They are very busy!

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Affymetrix-microarray.jpg
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37 words

Your body has tiny parts called cells. Inside, there are many small pieces. These pieces carry messages. They tell the cell what to do.

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Metabolomics schema.png

Some pieces are very busy. They change all the time. They change when you grow. They change if your world changes.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg

These pieces can be helpful. Some pieces are not used. Scientists call those pieces junk. It is hard to know which is which. They study these pieces to learn. This helps them understand life.

82 words

Inside every cell, there is a set of messages. These messages are made of RNA. The whole set of RNA in a cell is called a transcriptome.

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Metabolomics schema.png

Scientists study the transcriptome to see how a cell is working. A cell's DNA is like a set of fixed rules. But the transcriptome is always changing. It changes based on the cell type or the world around it.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg

To make RNA, a cell uses a process called transcription. An enzyme called RNA polymerase attaches to the DNA. It then builds a single strand of RNA. This strand follows the instructions in the DNA.

Most RNA helps the cell do its jobs. Some RNA is used to make proteins. Other RNA pieces help control how genes work. However, some RNA might be "junk." This means it does not have a clear job. It might come from parts of the DNA that do not do anything. Scientists work hard to find out which parts are useful. They use tools like RNA sequencing to read these tiny messages. This helps them understand how life works.

183 words

The transcriptome is the complete set of all RNA molecules inside a cell. These molecules are often called transcripts. This set includes functional RNA that helps the cell work. It also includes other transcripts that might come from non-functional regions. These extra parts can come from virus fragments or pseudogenes. Scientists want to know which transcripts are useful and which are "junk RNA."

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Metabolomics schema.png
The word transcriptome is a portmanteau. This means it combines the words transcript and genome. It describes the active state of a cell. While DNA is mostly fixed, the transcriptome is dynamic. It changes based on the environment or the type of cell.

Making these RNA molecules happens through a process called transcription. A special enzyme called RNA polymerase starts the work. First, it must find a promoter sequence. This sequence tells the enzyme where a gene begins. The enzyme then attaches to the DNA template strand. It adds building blocks called ribonucleotides to the growing strand. This new RNA strand is complementary to the DNA it came from.

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Metabolomics schema.png
The process ends when the enzyme reaches a terminator site. This site marks the other end of the gene. Transcription factors often help regulate how this happens.

Scientists have studied these molecules for a long time. In 1979, a study showed a collection of mRNA from silk moths. Later, in 1997, a major study looked at the transcriptome of yeast. That study found 60,633 transcripts in the organism.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg
As computers became more powerful, studying this data became easier. New technologies helped scientists analyze huge amounts of information. In the 1980s, automated DNA sequencing became more common. This helped make the study of transcriptomes much more prominent.

There are many different types of RNA in a transcriptome. Ribosomal RNA, or rRNA, is usually the most common type. There are also long non-coding RNAs that are over 200 nucleotides long. Small RNAs like microRNA are much shorter. These tiny molecules can control how other genes work.

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Affymetrix-microarray.jpg
In mammals, known genes only make up about 40% to 50% of the genome. This means many transcripts might come from parts of the DNA we do not use. Some of these might be from viruses or other non-functional areas.

To study these molecules, scientists use special tools. One way is using DNA microarrays. These are thin glass layers with tiny spots of DNA on them.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg
Another modern way is called RNA sequencing. This method is very powerful because it does not need to know the genome first. It can find brand new transcripts. Scientists can even use it to study the transcriptome of a single cell. This helps us see how individual cells behave in different ways.

451 words

The transcriptome is the complete set of all RNA molecules, or transcripts, found within a cell or a population of cells. It includes functional RNA molecules that help the cell operate. It also includes other transcripts that arise from non-functional regions, such as pseudogenes or virus fragments. Scientists aim to distinguish between functional transcripts and what is often called "junk RNA."

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Metabolomics schema.png
While the genome is the static DNA sequence, the transcriptome is dynamic. It changes based on cell type, developmental stage, and environmental stimuli. This makes the transcriptome a reflection of a cell's active gene expression state.

RNA molecules are created through a molecular process called transcription. This process begins when an enzyme called RNA polymerase recognizes a promoter sequence. The promoter is located near the transcription start site and defines where a gene begins. Transcription factors often help regulate and mediate this initiation. Once the enzyme attaches to the template DNA strand, it catalyzes the addition of ribonucleotides. These are added to the 3' end of the growing RNA sequence. The resulting RNA strand is complementary to the DNA strand it originated from. The process concludes when the enzyme reaches a terminator site, which is often identified by specific termination sequences.

There are many different types of RNA transcripts within a transcriptome. Ribosomal RNA, or rRNA, is usually the most abundant type. Long non-coding RNA (lncRNA) refers to transcripts longer than 200 nucleotides. These make up the largest fraction of the non-coding transcriptome after introns. Other small RNAs include microRNA (miRNA), which are 19 to 24 nucleotides long. MicroRNAs can regulate the expression of mRNA through a process called RNA interference. There are also Piwi-interacting RNAs (piRNA) that are 24 to 31 nucleotides long. These interact with Piwi proteins to target and cleave transposons.

In many organisms, the transcriptome contains transcripts that do not come from known genes. In mammals, known genes only account for 40% to 50% of the genome. Because of this, identified transcripts often map to a much larger fraction of the genome than the genes themselves. This suggests the presence of spurious transcription. Some of these transcripts come from transcribed pseudogenes or degenerative transposons and viruses. Many scientists assume that if a transcript is not assigned to a known gene, it is junk RNA until proven functional. This is especially common in eukaryotes with very large genomes.

The history of studying the transcriptome involves several major milestones. The first study to present a cDNA library of silk moth mRNA was published in 1979. A seminal study in 1997 investigated the transcriptome of the organism S. cerevisiae. This study used serial analysis of gene expression, or SAGE, to describe 60,633 transcripts. The field grew as automated DNA sequencing became available during the 1980s. In the 1990s, researchers used expressed sequence tag sequencing to identify gene fragments. As computational power and high-throughput technologies increased, analyzing enormous amounts of data became much easier.

Scientists use different methods to construct and analyze a transcriptome. One older method involves DNA microarrays, also known as DNA chips.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg
Microarrays consist of thin glass layers with spots containing known DNA sequences called probes. Researchers convert mRNA into cDNA and mark it with fluorescent colors, such as red or green. When the cDNA hybridizes to the chip, a laser scans the fluorescence to measure gene expression. However, microarrays cannot provide information about unknown genes. Most researchers have now moved toward next-generation sequencing techniques.

RNA sequencing is a modern technology that allows for both qualitative and quantitative analysis. It requires only a small amount of RNA and does not require prior knowledge of the genome. This allows scientists to discover entirely new transcripts. The process involves RNA purification, followed by the synthesis of an RNA or cDNA library. Scientists often use UV spectrometry to measure RNA quality by looking at an absorbance peak at 260 nm. They may also use the RNA Integrity Number (RIN) to compare the ratio of 28S RNA to 18S RNA.

Affymetrix-microarray.jpg
Affymetrix-microarray.jpg
Recent advancements even allow for single-cell transcriptomics, which studies the transcriptome of individual cells, including bacteria.

Understanding the transcriptome is essential for modern molecular biology. It helps researchers catalogue all species of transcripts and determine their transcriptional structure. This includes identifying start sites, splicing patterns, and post-transcriptional modifications. By studying transcriptomics, scientists can quantify how expression levels change during development or under different conditions. This field connects the static information in the genome to the actual biological functions happening in a living system. It provides a window into how life responds to the world around it.

760 words
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