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Biochemistry vs molecular biology (vs genetics, microbio, cell bio, microbio, systems bio, physio)
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There are no strict distinctions between biology-related sub-disciplines (we are after all, largely trying to study the same things, just from different perspectives and at different “levels”) but here’s a rough guide to how I think about things…
* Biochemistry - intersection of chemistry and biology, with a focus on the structure & function of macromolecules (proteins, nucleic acids, lipids, etc.) and *mechanisms* by which they act and interact to make life possible
* lots of emphasis on enzymes as well as metabolic pathways
* Molecular biology - more focus on cellular processes, especially those involving genetic information (transcription, translation, replication, etc.) and the molecules involved, as well as ways to artificially manipulate DNA - biotech stuff
* Microbiology - deals with whole organisms, just tiny ones - different types of bacteria, fungi, viruses, etc. - how they are similar and different, how they affect the environment, how they can sometimes cause disease, & how they can be experimentally classified
* Genetics - deals with how genetic information is encoded and transmitted; large focus on Mendelian inheritance; may include genomics - genetics with large datasets and incorporating things like epigenetic modifications and the 3D arrangement of chromatin
* Microbiology - deals with whole organisms, just tiny ones - different types of bacteria. fungi, & viruses - how they are similar and different, how they affect the environment, how they can sometimes cause disease, & how they can be experimentally classified
* Cell biology - more focus on what naturally goes on within and between cells - intracellular compartmentalization, cell-to-cell communication, extracellular matrices, etc.
* Physiology - deals with what goes on function-wise at the tissue and organismal levels - typically broken up into “systems” (renal system, nervous system, respiratory system, etc.)
* Systems biology - looks at the interconnectedness of systems like those by analyzing large datasets measuring lots of things (metabolite levels, gene expression, protein modifications, genomics, etc.); thinks of things in terms of networks; computational craziness…
* Biochemistry - intersection of chemistry and biology, with a focus on the structure & function of macromolecules (proteins, nucleic acids, lipids, etc.) and *mechanisms* by which they act and interact to make life possible
* lots of emphasis on enzymes as well as metabolic pathways
* Molecular biology - more focus on cellular processes, especially those involving genetic information (transcription, translation, replication, etc.) and the molecules involved, as well as ways to artificially manipulate DNA - biotech stuff
* Microbiology - deals with whole organisms, just tiny ones - different types of bacteria, fungi, viruses, etc. - how they are similar and different, how they affect the environment, how they can sometimes cause disease, & how they can be experimentally classified
* Genetics - deals with how genetic information is encoded and transmitted; large focus on Mendelian inheritance; may include genomics - genetics with large datasets and incorporating things like epigenetic modifications and the 3D arrangement of chromatin
* Microbiology - deals with whole organisms, just tiny ones - different types of bacteria. fungi, & viruses - how they are similar and different, how they affect the environment, how they can sometimes cause disease, & how they can be experimentally classified
* Cell biology - more focus on what naturally goes on within and between cells - intracellular compartmentalization, cell-to-cell communication, extracellular matrices, etc.
* Physiology - deals with what goes on function-wise at the tissue and organismal levels - typically broken up into “systems” (renal system, nervous system, respiratory system, etc.)
* Systems biology - looks at the interconnectedness of systems like those by analyzing large datasets measuring lots of things (metabolite levels, gene expression, protein modifications, genomics, etc.); thinks of things in terms of networks; computational craziness…
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