Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
Genetically modified organisms, the good, bad and ugly
Genetically modified organisms, the good, bad and ugly
Genetically modified organisms, the good, bad and ugly
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Functional genomics is an area of study within molecular biology which attempts to analyse genetic products, in order to understand the function and interaction of genes, and the proteins produced by them. It is a genome-wide method used under different environmental conditions and the DNA function can be deciphered through a combination of genes, proteins and transcripts. The new approach provides geneticists with the possible answers of understanding how genes interact with one another and analysing DNA sequences of organisms which are unique to biological systems.
Genomics is undergoing rapid development from the analysis, mapping and sequencing of genomes to development about genome function. [Hieter and Boguski, 1997] Genomics looks at the analysis of DNA sequences whilst functional genomics is used to understand the relation of genes and proteins. [Fields et al., 1999] The analysis of genomes has more recently been divided into two groups; functional and structural genomics. Structural genomics is the first phase of genome analysis, which produces an organisms’ genetic, transcript and physical maps. [Hieter and Boguski, 1997] The purpose of structural genomics is the allocation of three-dimensional structures to proteomes; which has given a new viewpoint on protein families and folds, and domain structures within gene sequences. [Teichmann et al., 1999]
Functional genomics requires genome-wide experimental approaches that will understand the behaviour of biological systems simultaneously, and analyse multiple genes and proteins of an organism at once. The expanding field of functional genomics promises to “narrow the gap between sequences and function whilst developing a new insight into biological systems.” [Hieter and B...
... middle of paper ...
...g developed, however DNA microarray has allowed research into the axon guidance pathways, allowing scientists to analyse the change in pathway proteins which lead to the disease. Furthermore, the analysis of the α-synuclein gene, the ALDH1A1 gene and the SEMA5A gene show possibilities of conclusive data as to which genes are affected and which genes cause an affect and lead to Parkinson’s disease symptoms. However there are always limitations, which have been more evident with research into neurological diseases, as human or animal cell tissue is always needed, and the most challenging area is gaining the accurate cell tissue from the diseased location of the brain. [Mandel et al., 2003]
Nevertheless, functional genomics is an area of research which has been widely developed due to microarray technology; providing a wide-scale platform for the analysis of genes.
Neurodegeneration is used mainly for diseases that are characterised by progressive loss of structure and function of neurons. There are many neurodegenerative diseases including amyotrophic lateral sclerosis that...
"Parkinson Disease." Genetics Home Reference. Lister Hill National Center for Biomedical Communications, n.d. Web. May 2012. .
Goldmann, David R., and David A. Horowitz. American College of Physicians Home Medical Guide to Parkinson's Disease. New York: Dorling Kindersley Pub., 2000. Print.
With more than 200,000 US cases per year, Parkinson’s disease has become a major part
Having completed the Human Genome Project, scientists now seek to uncover the secrets of the human proteome (Begley 1). It is "guesstimated" that the proteome, meaning all the proteins, will involve up to 1000 times more data than the genome did. But this again brings us to the question: What will the scientific and medical communities do with all this information?
Proteogenomics is a kind of science field that includes proteomics and genomics. Proteomic consists of protein sequence information and genomic consists of genome sequence information. It is used to annotate whole genome and protein coding genes. Proteomic data provides genome analysis by showing genome annotation and using of peptides that is gained from expressed proteins and it can be used to correct coding regions.Identities of protein coding regions in terms of function and sequence is more important than nucleotide sequences because protein coding genes have more function in a cell than other nucleotide sequences. Genome annotation process includes all experimental and computational stages.These stages can be identification of a gene ,function and structure of a gene and coding region locations.To carry out these processes, ab initio gene prediction methods can be used to predict exon and splice sites. Annotation of protein coding genes is very time consuming process ,therefore gene prediction methods are used for genome annotations. Some web site programs provides these genome annotations such as NCBI and Ensembl. These tools shows sequenced genomes and gives more accurate gene annotations. However, these tools may not explain the presence of a protein. Main idea of proteogenomic methods is to identify peptides in samples by using these tools and also with the help of mass spectrometry.Mass spectrometry searches translation of genome sequences rather than protein database searching. This method also annotate protein protein interactions.MS/MS data searching against translation of genome can determine and identify peptide sequences.Thus genome data can be understood by using genomic and transcriptomic information with this proteogenomic methods and tools. Many of proteomic information can be achieved by gene prediction algorithms, cDNA sequences and comparative genomics. Large proteomic datasets can be gained by peptide mass spectrophotometry for proteogenomics because it uses proteomic data to annotate genome. If there is genome sequence data for an organism or closely related genomes are present,proteogenomic tools can be used. Gained proteogenomic data provides comparing of these data between many related species and shows homology relationships among many species proteins to make annotations with high accuracy.From these studies, proteogenomic data demonstrates frame shifts regions, gene start sites and exon and intron boundaries , alternative splicing sites and its detection , proteolytic sites that is found in proteins, prediction of genes and post translational modification sites for protein.
Parkinson’s disease is a chronic, progressive neurodegenerative disorder characterised by resting tremor, slowed movements, rigidity and postural instability (Casey G, 2013). It is the second most common neurodegenerative disorder after Alzheimer’s (Martin and Mills, 2012). There is a great variability in reported incidence rates, probably due to difference in diagnostic criteria and case ascertainment, with reported rates in Australia and in Western countries ranging from 8.6 to 19.0 per 100,000 population (J Macphee and D Stewart, 2012). The two main brain structures affected by Parkinson’s are the substantia nigra pars compacta, which is located in the midbrain and other parts of the basal ganglia, w...
Langston, J. W. "Current Theories on the Cause of Parkinson’s Disease. " Journal of Neurology, Neurosurgery, and Psychiatry. 1989, suppl. ,pp. 13-i7.
The path physiology of Parkinson’s disease is the pathogenesis if Parkinson disease is unknown. Epidemiologic data suggest genetic, viral, and environmental toxins as possible causes. Nigral and basal loss of neurons with depletion of dopamine, an inhibitory neurotransmitter, is the principal biochemical alteration in Parkinson disease. Symptoms in basal ganglia disorders result from an imbalance of dopaminergic (inhibitory) and cholinergic (excitatory) activity in the caudate and putamen of the basal ganglia.
Thomas, C. G. (2013, November 25). National Institute of Neurological Disorders and Stroke. Gene-silencing study finds new targets for Parkinson's disease, pp. 1-2. Retrieved December 13, 2013, from http://www.nih.gov/news/health/nov2013/ninds-24.htm
For numerous years, the world’s most prestigious geneticists have been trying to crack the human genetic code, the intricate puzzle that defines each and every one of us as individuals. With the monumental success of the Human Genome Project, a new and exciting biological frontier is ready for exploration. The ramifications of the knowledge derived from this endeavor will no doubt be staggering for residents of the Rio Grande Valley and the world at large.
The scientific and medical progress of DNA as been emense, from involving the identification of our genes that trigger major diseases or the creation and manufacture of drugs to treat these diseases. DNA has many significant uses to society, health and culture of today. One important area of DNA research is that used for genetic and medical research. Our abi...
Distinct characteristics are not only an end result of the DNA sequence but also of the cell’s internal system of expression orchestrated by different proteins and RNAs present at a given time. DNA encodes for many possible characteristics, but different types of RNA aided by specialized proteins sometimes with external signals express the needed genes. Control of gene expression is of vital importance for an eukaryote’s survival such as the ability of switching genes on/off in accordance with the changes in the environment (Campbell and Reece, 2008). Of a cell’s entire genome, only 15% will be expressed, and in multicellular organisms the genes active will vary according to their specialization. (Fletcher, Ivor & Winter, 2007).
In summary, bioinformatics involves the creation of databases algorithms and computational techniques for solving problems in molecular biology and has many practical applications (Luscombe et al. n.d.).
The identification of proteins (proteomics) is more important than genomics when the genetic information discover...