Answer and Explanation:
Protein is one of the most important molecules in our organism, being present in the composition of all elements, in addition to participating in several metabolic processes. This importance creates the need to study this molecule, however, to study it it is necessary to know the composition chemistry and the levels of structure it presents.
The chemical composition of proteins is related to amino acids, since protein is formed by them. In this case, we can say that the proteins have the same composition as the amino acids containing carboxylic acid and different amino groups, which is what determines the name and function of the amino acid.
In addition to chemical composition, the structure levels of proteins are extremely important, as they only function at a specific structural level. As for these levels, proteins can have a primary structure (there are more than two amino acids organized in a linear row), a secondary structure (when the primary structure turns into a helix species), a tertiary structure (formed by a more intense folding of the secondary structure providing the appearance of helices and leaves) and quarternary structure (when several tertiary structures are joined, allowing folding at the three-dimensional level. This is the functional structure of the protein).
If an error occurred when RNA was receiving coding information a protein wouldn't be formed correctly. RNA need's coding information to determine what type of protein it needed to produce. Hope I helped!
A single cell RNA seq analysis identifies 25 population of epidermal cells .
<h3>What is single cell transcriptomics used for?</h3>
Single cell transcriptomics are being used to create reference maps of healthy human tissues, organs and systems at single cell resolution.
An essential model system for studying stem cells and tissue regeneration is the mouse epidermis with its hair follicles. To demonstrate how the cellular heterogeneity of the murine telogen epidermis is controlled at the transcriptional level, we used single-cell RNA-sequencing in this study. 25 different populations of interfollicular and follicular epidermal cells were identified by impartial clustering of 1,422 single-cell transcriptomes. With previously unheard-of resolution, our data allowed for the reconstruction of gene expression patterns during epidermal development and along the proximal-distal axis of the hair follicle.
To Learn more about Transcriptomics refer
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Answer:
they both decrease genetic variation
