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QPMPA Journal September 2011 - Qualified Private Medical ...

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science<br />

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Francois Jacob, Jacques Monod and<br />

their colleagues discovered that genes<br />

were co-ordinately controlled. E. coli does<br />

not make enzymes for metabolizing sugar<br />

in milk, but when placed in a medium<br />

with lactose, genes to produce enzymes<br />

metabolizing that sugar are induced.<br />

Work showed that the inducer (whatever<br />

it may be) deactivated a repressor and<br />

stopped synthesis of the messenger RNA.<br />

The group of co-ordinately controlled<br />

genes and their regulatory DNA sites was<br />

called “Operon”. It was assumed that<br />

this model might prove to be the way<br />

genes control organisms undergoing<br />

embryological development.<br />

As most cells in developing organisms<br />

seemed to have the same amount of DNA,<br />

it had long been a puzzle how they differentiated<br />

into the many different cell types<br />

in the body. However, further work<br />

showed that gene regulation is far more<br />

complex. In addition, behaviour of the<br />

nervous system was found to be extremely<br />

strange at molecular level. Returning to<br />

fruit flies, Seymour Benzer induced behavioural<br />

mutations in it. Sydney Brenner<br />

developed the nematode worm,<br />

Caenorhabditis elegans, to study its nervous<br />

system and genetics of behaviour.<br />

Nirenberg used neuroblastomas to study<br />

development of neural tissue.<br />

Molecular biology enabled numerous<br />

other fields to go molecular. Descriptive<br />

cytology turned into molecular. The immunological<br />

relationship between antibodies<br />

and antigens was re-characterized<br />

at the molecular level. However, not<br />

all attempts to find the molecular basis<br />

of biological phenomena met with success,<br />

like the claim that RNA molecules<br />

coded memories. In the 1970s, molecular<br />

biology itself was going genomic. The<br />

genome is a collection of nucleic acid<br />

base pairs (adenine pairs with thymine<br />

and cytosine with guanine). The number<br />

of base pairs varies widely among species.<br />

For example, H. influenza has<br />

roughly 1.9 million base pairs while a<br />

Watson<br />

Homo sapiens sapiens has more than<br />

3 billion. Genomics owes much to the<br />

development of new computational<br />

methods for producing, storing, and interpreting<br />

long sequences of enormous<br />

amounts of data.<br />

Frederick Sanger developed proteinsequencing<br />

techniques and used them<br />

to elucidate the amino acid sequence of<br />

insulin. Kary Mullis developed polymerase<br />

chain reaction, a procedure wherein<br />

small samples of DNA were amplified. In<br />

the mid 1980s, USA originated a project<br />

to sequence human genome (initially to<br />

determine the impact of radiation on<br />

humans induced by atom bombs in Japan).<br />

While the human genome received<br />

most of public attention, hundreds of<br />

other genomes including cat, mouse, and<br />

rice were sequenced. One of the startling<br />

revelations was… the human genome<br />

contained 20,000 to 25,000 genes; the<br />

Crick<br />

cats have 20,285 genes, the mouse<br />

24,174, and rice a whopping 50,000. Rice<br />

was more complex than man was. However,<br />

just as a number of disciplines “went<br />

molecular”, molecular biology itself was<br />

wrestling with complexities posed by split<br />

genes and overlapping genes and how a<br />

mere 20,000 genes can construct a human<br />

while a grain of rice requires 50,000<br />

genes. Thus, genomics is now supplemented<br />

by post-genomics.<br />

Developments in genomics and postgenomics<br />

have sparked a number of<br />

philosophical questions about molecular<br />

biology. Since the genome requires a<br />

vast array of other equally indispensable<br />

mechanisms to make a protein product,<br />

can DNA alone really be causally<br />

prioritized. Similarly, in the face of such<br />

interdependent mechanisms involved in<br />

transcription, regulation, and expression,<br />

can DNA alone be privileged as the bearer<br />

of hereditary information? Or is the information<br />

distributed across all such<br />

entities and activities? In addition, if so,<br />

how should be this systems-level analysis<br />

conceptualized? Is post-genomics<br />

simply a collection of mechanisms, or is<br />

there ‘something’ epistemologically and<br />

metaphysically stable that controls systems<br />

and mechanisms? What actually is<br />

this ‘information?’<br />

Genes as linear DNA sequences of bases<br />

carry “information” for the production<br />

of proteins. During protein synthesis,<br />

the information is “transcribed” from<br />

DNA to messenger RNA and then translated<br />

to proteins. During DNA replication,<br />

and subsequent inheritance, it is<br />

often said that what is passed to the<br />

next generation is the “information” in<br />

the genes, namely the linear ordering<br />

of bases along DNA strands. Historians<br />

of biology have tracked the information-talk<br />

of molecular biology, and<br />

philosophers of biology have doubted<br />

whether a definition of “information”<br />

can be provided at all that adequately<br />

captures its usage in this field.<br />

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120<br />

<strong>QPMPA</strong>.JMS . Vol. XXV . No. 3 . June-Sept. <strong>2011</strong>

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