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What is transcriptome?

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∙ 10y ago

Updated: 10/16/2024

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Q: What is transcriptome?

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Definition of transcriptomics in molecular biology?

Transcriptomics is the study of all the RNA transcripts produced by the genes of an organism under specific conditions. It involves analyzing the quantity, structure, expression, and regulation of RNA molecules to gain insights into gene expression patterns and molecular mechanisms within cells. Transcriptomics is a valuable tool for understanding how genes are controlled and how they function in various biological processes.

What is c-DNA library and How it is constructed from a RNA?

A cDNA library is a collection of cDNA fragments that represent the expressed genes in a cell. To construct a cDNA library from RNA, mRNA is first isolated and converted into cDNA using reverse transcriptase enzyme. The cDNA fragments are then cloned into a vector for amplification and storage.

Why bioinformatics play a big role in human genome project?

Bioinformatics is crucial in the Human Genome Project as it helps analyze, store, and interpret the vast amount of genomic data generated. It involves developing algorithms and tools to process this data, identify genes, predict protein functions, and understand genetic variations. Bioinformatics also plays a key role in comparing human genomes to other species, aiding in evolutionary studies and identifying disease-causing mutations.

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Related Questions

What is the relationship of a transcriptome to the genetic code?

A transcriptome is the percentage of the genetic code that is turned into RNA molecules. It transcribes to less than five percent of the genome in humans.

What are the key differences between the proteome and transcriptome in terms of their roles and functions within a cell?

The proteome refers to all the proteins present in a cell, while the transcriptome refers to all the RNA molecules. Proteins carry out most cellular functions, while RNA molecules are involved in gene expression and regulation. The proteome reflects the current state of the cell, while the transcriptome provides information on gene activity and potential protein production.

What are the key differences between the transcriptome and proteome in terms of gene expression and protein production?

The transcriptome refers to all the RNA molecules produced by a cell, including mRNA which carries genetic information from DNA to make proteins. The proteome, on the other hand, refers to all the proteins produced by a cell. The key difference is that the transcriptome represents the gene expression level, while the proteome represents the actual proteins produced as a result of gene expression.

What is Genomology?

Genomology is the study of an organism's complete set of genes or genetic material, known as its genome. This field involves analyzing and interpreting genetic information to understand the genetic basis of traits, diseases, and behaviors. Genomology plays a crucial role in fields such as genetics, molecular biology, and personalized medicine.

Definition of transcriptomics in molecular biology?

Transcriptomics is the study of all the RNA transcripts produced by the genes of an organism under specific conditions. It involves analyzing the quantity, structure, expression, and regulation of RNA molecules to gain insights into gene expression patterns and molecular mechanisms within cells. Transcriptomics is a valuable tool for understanding how genes are controlled and how they function in various biological processes.

What are the key differences between snRNA-seq and scRNA-seq techniques for single-cell transcriptomics analysis?

The key differences between snRNA-seq and scRNA-seq techniques for single-cell transcriptomics analysis are in the type of RNA being analyzed. snRNA-seq focuses on small nuclear RNAs, which are involved in RNA processing, while scRNA-seq analyzes the entire transcriptome of a single cell. This means that snRNA-seq provides more specific information about RNA processing mechanisms, while scRNA-seq gives a broader view of gene expression in individual cells.

What has the author Xin He written?

Hua Jin has written: 'San Jin shi ke zong mu' -- subject(s): Catalogs, Chinese Inscriptions, Inscriptions, Chinese 'Xiang pen pen! ren qi jian bing' -- subject(s): Pancakes, waffles, Snack foods, Bread

What is c-DNA library and How it is constructed from a RNA?

A cDNA library is a collection of cDNA fragments that represent the expressed genes in a cell. To construct a cDNA library from RNA, mRNA is first isolated and converted into cDNA using reverse transcriptase enzyme. The cDNA fragments are then cloned into a vector for amplification and storage.

What is Nextgen Life Sciences Which services are they provide?

NextGen is associated with some leading multinational brands as a distributor of innovative technologies for distribution, research support programs, manufacturing and research & development. It works closely with the customers and aims to gain recognition, success, and growth, focusing on scientists’ research needs. The team at NextGen follows three principles: value, service, and support. The company’s ultimate focus is to provide high-quality and innovative products and services at competitive prices in a timely fashion to its customers. The company offers premium services for sequencing, NGS, NGS data analysis services about the whole genome, exome, transcriptome, and small RNA sequencing. The company offers products for cell analysis, cell culture & transfection, cloning, DNA & RNA purification, gene expression analysis & genotyping, PCR, protein expression & analysis, real-time PCR, RNAi, sequencing, synthetic biology, cancer research, stem cell research, drug discovery and development, plant sciences, epigenetics and services for sequencing and NGS.

During the analysis of the company's transcriptome, I got a comparison of treatment vs control, but in research papers, we have to write control vs treatment. So, is it okay to rewrite it as control vs treatment, or should I have to do the analysis again?

You don't need to redo the analysis just to reverse the comparison order from "treatment vs control" to "control vs treatment." The results of your analysis remain valid regardless of the order in which you present the comparisons. Here’s what you can do: Rewriting for Consistency: When writing your research paper, you can present the findings as "control vs treatment." This involves reversing the labels in your descriptions and ensuring that any statistical results, such as fold changes and p-values, are correctly interpreted in the new context. Clarify the Direction: Clearly state in the methods section how the analysis was conducted and that you are presenting the results in the "control vs treatment" format for consistency with the literature. Interpret Results Correctly: Be mindful of how the direction of change is reported. For example, if a gene is upregulated in treatment compared to control, it would be downregulated in the control compared to treatment, and vice versa. Here's an example of how you might describe this in your methods section: "For consistency with standard reporting in the literature, we present our differential expression results in the 'control vs treatment' format. The original analysis was performed as 'treatment vs control', and results have been inverted accordingly."

What are the Effects of pine oil on bacterial blight?

Genetic changes that correlate with the pine-oil disinfectant-reduced susceptibility mechanism of Staphylococcus aureus. Lamichhane-Khadka R, Riordan JT, Delgado A, Muthaiyan A, Reynolds TD, Wilkinson BJ, Gustafson JE.SourceDepartment of Biology, New Mexico State University, Las Cruces, NM 88003-8001, USA. AbstractAIMS:To identify factors associated with the Staphylococcus aureus pine-oil disinfectant-reduced-susceptibility (PD(RS)) mechanism and to describe one possible PD(RS) model.METHODS AND RESULTS:Comparative genomic sequencing (CGS) and microarray analysis were utilized to detect mutations and transcriptome alterations that occur in a S. aureus PD(RS) mutant. Mutant analysis, antimicrobial gradient plates, growth studies and 3-hydroxy-3-methylglutaryl coenzyme A synthase assays were then performed to confirm the biological consequences of the 'omics' alterations detected in a PD(RS) mutant. CGS uncovered three mutations in a PD(RS) mutant in a(n): alcohol dehydrogenase (adh), catabolite control protein A (ccpA) and an NADPH-flavin oxidoreductase (frp). These mutations lead to increased growth rates; increased transcription of an NAD-dependent D-lactate dehydrogenase gene (ddh); and increased flux through the mevalonate pathway. PD(RS) mutants demonstrated reduced susceptibility to bacitracin and farnesol, and one PD(RS) mutant displayed upregulation of bacA, a bacitracin-resistance gene. Collectively, this evidence demonstrates altered undecaprenol metabolism in PD(RS) mutants.CONCLUSIONS:The PD(RS) mechanism proposed results from increased catabolic capabilities and increased flux through the mevalonate pathway as well as altered bactoprenol physiology.SIGNIFICANCE AND IMPACT OF THE STUDY:A novel mechanism that bacteria utilize to overcome the killing effects of PD formulations is proposed that is unique from the PD(RS) mechanism of the enterobacteraciae.

Why bioinformatics play a big role in human genome project?

Bioinformatics is crucial in the Human Genome Project as it helps analyze, store, and interpret the vast amount of genomic data generated. It involves developing algorithms and tools to process this data, identify genes, predict protein functions, and understand genetic variations. Bioinformatics also plays a key role in comparing human genomes to other species, aiding in evolutionary studies and identifying disease-causing mutations.

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