Significance of Multi-omics Studies
Multi-omics
Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine two or more omics data sets to aid in data analysis, visualization and interpretation to determine the mechanism of a biological process. Read More
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- Refer resources for more relevant information.
- NHGRI multi-omics workshop
- Review Article
"Multiomics" is defined as a set of single omics such as the genome, proteome, metabolome, lipidomics, glucome, and transcriptome. "Omics" is to study the law of life activity of the organism from an overall level with a global perspective, and "multiomics" is to combine two or more single omics for a comprehensive analysis. Multi-omics integrated analysis is not just a simple splicing of several omics data, but a comprehensive study of these data, breaking through the limitations of a single omics study, joint analysis of different omics data, mining more meaningful information from the limited data, building the body's regulatory network, and in-depth understanding of the regulation and causality between various molecules. Multi-omics also provides the opportunity to analyze a piece of gene through different layer, which can create more comprehensive understanding. The integrative analysis of multiple omics has brought revolutionary changes to the research of life science, gradually improving the research from the level and promoting our profound understanding of the life process and physiological mechanism. This kind of research idea from part to whole will also be an inevitable trend in the future research of life science.
ReplyDeleteFrom my understanding, multi-omics is the use of multiple pieces of data from different omics to analyze data. It is useful for researching many different things such as cancer. With multi-omics, people can find cancer sooner and develop treatments earlier. By using these different approaches to analyze something, researchers can identify certain things that would not be seen by only using one omic.
ReplyDeleteNHGRI Questions:
ReplyDelete1. One way multi-omics improve our understanding of health and disease by allowing us to single out a cell and understanding the underlying mechanisms of diseases.
2. I'm not too sure what the article is talking about when it mentions study designs but as of for data integration, analyzing and integrating data from multiple types of biomolecules can be challenging, as each type of molecule has its own unique characteristics and requires specialized analysis techniques. The technological of our time can also limit how much we can do. Lastly, the cost of multi-omics can be expensive as a lot of separate equipment is required.
3. NHGRI can overcome with some of these issues by opening up more funding for multi-omics and collaborate with other institutes to help advance thier studies.
Multi-Omics Article and Video:
From the articles and videos about multi-omics I learned a lot about how they function and how they're used today. Essentially, they're an approach in which multiple data sets of different omic groups are combined to reach a conclusion. They're used to identify which cell types of effect different reactions in the body. They're heavily used in early clinical trials with cancer as using the approach gives you the greatest granularity and resolution.
I learned that multiomics is a holistic approach that uses the connectivity of cell processes like transcriptomics, proteomics, epigenetics, and genomics, which provides multiples views and contexts for the same the problem. An example that I found very interesting was the example of multiomics being used to find genetic varients, which other racial populations did not have, that regulate African American genomes. I found this interesting because it shows the extent to which multiomics can be useful in a societal aspect because if it weren't for multiomics, the special genetic varients would not have been found.
ReplyDeleteFrom my understanding, multi-omics is the use of multiple pieces of data from different omics to analyze data. It is useful for researching many different things such as cancer. With multi-omics, people can find cancer sooner and develop treatments earlier. By using these different approaches to analyze something, researchers can identify certain things that would not be seen by only using one omic.
ReplyDeleteNote: I tried sending this before, but it marked my post as anonymous even though I clicked google account.
From what I learned, multi-omics involves combining different types of omics to understand an issue or disease from multiple perspectives. It allows for you to better distinguish what exactly the problem is and because you are using multiple perspectives it ensures that there is a low chance of error. Multi-omics also allows for a scientist to take a deeper look and better analyze a problem within a cell and connect the genotype to a phenotype. By deeper analyzing a cell, multi-omics can reveal much more about the cell such as what is present, their functions, how they interact, etc. This gives scientists a whole new view about how they research and solve problems and now have a complete view rather than just a view of a genotype, organelle, etc.
ReplyDeleteMultiomics is the study of multiple omic data types, such as genomics, proteomics, and transcriptomics, in a single system or organism. By integrating data from multiple omics sources, researchers gain a more comprehensive understanding of biological processes. Multiomics approaches can help to develop more personalized treatments by giving the greatest resolution and detail as well as furthering our understanding of living systems.
ReplyDeleteI have learned that multiomics studies multiple omics data sets together, so living organisms can be better understood. Omics is the study of large-scale biological data sets that include genomics, proteomics, lipidomics, etc. Multiomics can include analyzing genomics and proteomics together to better understand the interactions between genes and proteins in a living organism. This can help scientists identify and cure diseases faster.
ReplyDeleteMultiomics is the science of integrating a vast number of scientific fields into a unified understanding of a specific issue or problem that needs to be found. Some of these specific scientific fields include transcriptomics, proteomics, metabolomics and numerous other types of scientific research. Together, all of these studies come together to solve a novel idea of interest and ultimately help a patient or patients for better medical purposes.
ReplyDeleteWhat I found most interesting about multiomics is the widespread applications of this type of study. For example, by using an array of specific -omics, not only can we integrate these subfields into one complex process, but we can “connect the dots” and try to figure out how all of these interconnected -omics come together to help solve one thing, and one thing only. I was also fascinated by the novel idea of multiomics, but although the idea itself seems so straightforward, there is a lot going on to make one specific discovery.
My interpretation of "multiomics" is zeroing in on a particular area/topic to learn more about it. For example, researching all about genes (genomics). Then, you can combine the knowledge found from the research on genomics and add information gathered on a different "omic" like transcriptomics. ~Cassina
ReplyDeleteMultiomics is a holistic way for scientists to understand biological phenomenon in the body, specifically diseases. The combination of multiple perspectives is a great revolution in the field of science because it allows for a more comprehensive way of how multiple biological systems interact with each other. This gives us a more accurate understanding of our bodies beyond just one omic, promoting a method of solving problems and treating diseases that is more effective and efficient.
ReplyDeleteMultiomics is a way to analyze data by looking at multiple approaches (Genome, proteome, transcriptome, epigenome, microbiome) to solve/understand a problem. In the process, researchers tend to uncover new discoveries. Using this method helps researchers have a clearer understanding of human biological systems. I was amazed by how by conducting such a simple procedure could produce such a positive result (compared to other procedures). I learned that multiomics has allowed researchers cure cancer faster, and discover new biomarkers.
ReplyDeleteI have an understanding that multiomics can provide various omic groups such as integrated omics, pan-omics, and trans-omics. They also include a perspective in which genomic data merges with other uses of data like transcriptomics, epigenetics, and proteomics for researchers to advance their knowledge of gene expression, protein levels, cellular response, and diseases. It specializes in molecular changes in normal development as well. This allows multiomics to not only fuse technology and biology, but also allows discoveries to happen in the analysis.
ReplyDeleteFrom my understanding, omics data, which represents studies relating to molecules and biological processes, is used to collectively categorize data in an efficient way. However as technology develops a new study takes the stage known as Multi-omics. Multi-omics combines 2 or more omics data sets to help efficiently produce and determine a biological process. This has become a revolutionary change in biomedical research and bioinformatics because it offers new insights and development in biological processes. This recent discovery is promising and holds a bright future in biology itself as well as has ample room for further discovery and research. :)
ReplyDeleteI understand that the many "omics" are all connected back to biology. (Examples are like genomics, proteomics, transcriptomics). The human biological system contains most of these omics. Diseases are also studied from these multiomics. We can discover many new diseases and cures for the omics. DNA and mRNA also contribute to these diseases. Researchers find new methods and understandings of this. Multi-omics helped combine biology and technology to create bioinformatics.
ReplyDelete(this is Allison Oh)
DeleteTo my understanding, multiomics is the combining of data from multiple omics to be analyzed together. When researchers use multiomics, they combine research from genomics, proteomics, transcriptomics, etc, to be able to look at all their data with many points of views. This way they are able to have more accurate and precise results. Multiomics works especially well because many omics are communicate and work together in the first place, so when combined they still connect. When researchers combine their data, their new multidimensional view on their topic allows them to grasp new concepts when it comes to diseases, cells, and more. It has even helped with diseases such as cancer and asthma so far. I think multiomics is a fascinating way for researchers to use all of their tools and research to understand concepts, instead of just focusing on one specific pathway.
ReplyDeleteFrom what I understand, multi-omics is the use of different omics data sets (genomics, proteomics, epigenomics, microbiomics, transcriptomics, etc.) to get a more holistic analysis of biology. This way, researchers can narrow down their results and make connections between the different omics, ultimately causing them to have more precise findings. One application of multi-omics that I found especially astonishing was its use in cancer research. Quite honestly, I had never heard of the different omics until this morning, and I didn't realize how important they truly are. This being said, multi-omics is very significant in clinical trials for cancer research, and it aids researchers in knowing what their therapies need to target, as well as where the human body is rejecting their therapies, so they can revise them. Clearly, multi-omics is a very important aspect of bioinformatics, and I am excited to see what the future holds for it!
ReplyDeleteMultiomics is the field that combines data from at least two different omics and analyzes them together. These separate omics can include but are not limited to genomics, transcriptomics, lipidomics, glycomics, proteomics, etc. What multiomics does, then, is extend the capabilities of each of these different omics in order to gain a fresh new perspective on problems. Researchers can use these new perspectives to analyze a problem more effectively and efficiently. So far, multiomics has been used in a variety of different ways, including diagnosing and treating cancer more quickly and effectively. In the future, multiomics will likely have many different applications, but its greatest advantage is how it allows for a seamless blend between biology and technology.
ReplyDeleteThe content that I have understood from today, to the best of my capabilities, include:
ReplyDelete1) In bioinformatics, computer science can be used. You can input a substance into the computer and the computer will run a test, using that substance, on the 18,000-20,000 genes to see which genes react/stand out the most. Then, using that information, we can use genetic engineering to extract that gene and run a research with the given information.
2) Gene therapy ~ the recent mode of treatment for 1 gene that is causing an issue to the patient.
3) How to insert a gene into a specific cell in the body ~ find a virus that combats the targeted biome of cells. Use the envelope/shell of that virus but inside of it you should insert the gene that you would like in the targeted cell. Then let the virus insert the body, target itself towards the area of its specialty-also the area that includes the designated cells-release the genes to the core of the cell.
4) Comparison of cancerous cells with non-cancer-infested cells~ Extract the cancer cells and squish them to break their outer membrane. Allow the lipids, proteins, carbohydrates, and DNA to situate themselves. I believe you first extract the lipids since it will float due to its density and then you extract the carbohydrates using chromatography. Or that could be just for the glucose, I am unsure. And now it will be easier to extract the dna and protein. Afterwards, you repeat this process with non-cancerous cells and compare your results. You can use this information in many ways. For example, if the protein in the cancerous cells maybe contains not enough of a specific amino acid compared to the non-cancerous cell sample then that can be a clue to use in your research.
5) terminology~ amino acids include -ine. Proteome refers to the entirety of the proteins in what you are referring to. proteomics refers to a large group of proteins being studied. Same logic and terminology applies to lipidomics and genomics (study of RNA and DNA).
6) 2% of DNA makes proteins. 98% of DNA is called vestigial DNA and they regulate/control the protein.
7)metagenomics: study of all the genes of the entirety of bacteria. Phenotypes: physical shape of cell. Epigenomics: location of cell. Transcriptomics describes RNA.
8)The protein in liver and neuron cells are 30% in common. They’re in common when it comes to their glucose generation, DNA replication, transportation abilities, and other basic functions needed for the cell to survive.
9) DNA makes genetic material. mRNA makes protein.
10) there are 3 billion base pairs in human dna
11) multiomics is a multi-step approach to solving and/or understanding a problem. This also provides a multidimensional view of human biology. Omic strategies include: genome, proteome, transcriptome, epicgenome, and microbiome.
I have learned that "omics" is a a term used to describe certain things that are being analyzed in a study. The biology field as a whole has multiple different "omics," including genomics, transcriptomics, and proteomics. Each "'omic" has a unique name that corresponds with the biological concept or thing that is being studied. I found this interesting because of how it can be used in tandem with other fields (like computer science and data science) to achieve tasks previously seen as impossible. The integration of multiple fields is important because we need our studies to be time and resource efficient so we can perform more of them.
ReplyDeleteThe information that I have gained today is that "Multi-omics" uses a combination of data sets from different omic groups in data analysis; this allows people the measure things such as gene expression and activation. There are many areas of research that can classified as omics: proteomics, genomics, etc. which all correspond to global analyses of proteins, genes, etc. All of this gives people an integrated perspective because it combines multiple levels of biology, and it can lead people to gain a better understanding of cell processes. This is revolutionary is the biology world, and we are already seeing its positive effects today; as an example, we were able to find genetic variants that regulate African American genome, that could not be found in other populations, with the use of multi-omics.
ReplyDelete(This is Claire Kim; I tried to sign into my google account, but it won't let me.)
DeleteMultiomics is the area of study that utilizes the different omics strategies, which are the genome, proteome, transcriptome, epigenome, and microbiome. It is important to note that not all strategies need to be used together but can instead utilize the necessary strategies together as it pertains to the project. The combination of these respective strategies allows one to measure gene expression, gene activation, and protein levels. Additionally, researchers can better connect the phenotype to the genotype. From my current understanding, multiomics offers a new perspective for researchers to look at current issues, fueling the discovery of new targets and biomarkers
ReplyDeleteOmics is a prefix similar to ology (ie geology, anthropology). From these videos I gathered that omics describe the studies of characterizing and sequencing areas in medical science. Similarly what multi-omics does is combine and cross--over different omics to yield a result that is far more advanced than if you were using a single omic study.
ReplyDeleteOmics is the suffix used to refer to the study of certain topics with in biology. Multi-omics utilizes data and knowledge from various omics, in order to have a more holistic result compared to focusing on a single omic such as Genomics.
ReplyDeleteBrady Bu
I have learned that multiomics is a method in which multiple different omic groups are used in conjunction with each other to analyze pieces of data. With this form of approach, researchers are able to get a more complex understanding of an issue or change, such as development, cellular response, and disease.
ReplyDeleteMultiomics allows scientists to view human biology with a more complex understanding of a problem as it gives multiple viewpoints into a single problem. Because of multiomics assays, we can understand how deeply connected the cell processes are, and also gives a biological background to the genetic variants when studying genetic diseases. In cellular biology, multiomics can give a big picture into the cell's functions and interactions. There are different omics strategies which include genome, proteome, transcriptome, epigenome, and microbiome. Overall, multiomics has allowed researched to move forward by allowing researchers to have a complete picture of their problem instead of having to make connections/inferences with incomplete data.
ReplyDeleteBioinformatics is based on the concept of omics studies. Omics studies is the use of different types of microbiological units, such as DNA, RNA, protein and bacteria, named as genome, transcriptome, proteome, and metabolome to compare large sets of data between these categories to observe which types or specific genes are affected by an addition of chemicals or the deletion of genetic material that might affect the results of diseases. This allows for a much larger view of the wider microbiome in our bodies and as a result, a wider understanding of the diseases that continue to harm humanity.
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