Chromosome conformation capture techniques are a set of molecular biology approaches used to analyze the spatial organization of chromatin and interaction of genomic regions in a cell.
Epigenetics- Transcription regulation of gene expressionakash mahadev
This document provides information about epigenetics and histone modifications. It defines epigenetics as heritable changes in gene function that do not involve changes to the underlying DNA sequence. It discusses how histone modifications such as acetylation and methylation regulate gene expression by altering chromatin structure and recruiting other proteins. DNA methylation is also described as an important epigenetic modification that typically represses transcription. Several families of enzymes that establish these modifications, such as DNA methyltransferases and histone methyltransferases/acetyltransferases, are outlined.
Histones are basic proteins found in eukaryotic cell nuclei that are responsible for DNA folding and chromatin formation. There are two main classes of histones: core histones and linker histones. Core histones include the H2A, H2B, H3, and H4 families, while linker histones include H1 and H5. Histone modification, including acetylation, methylation, and phosphorylation, can impact gene expression by altering the accessibility of DNA. Acetylation reduces the positive charge of histone tails, weakening their interaction with DNA and making it more accessible for transcription. Methylation and phosphorylation can also influence chromatin structure and cellular activity.
This document discusses genomic and cDNA libraries. Genomic libraries are made from genomic DNA and represent all genes in an organism. They require a minimum number of clones to ensure all genes are captured. cDNA libraries are made from mRNA and represent expressed genes, avoiding introns. Key steps in making cDNA libraries include mRNA isolation, cDNA synthesis, addition of linkers, and ligation into a vector. Screening methods to identify clones of interest include hybridization, expression screening, and hybrid arrest/release.
Codon bias refers to the preferential use of some codons over others for an amino acid. While the genetic code is degenerate, different organisms exhibit biases in codon usage. Selection likely plays a role in driving biases through effects on translation efficiency and accuracy, though mutational biases also contribute. The strength and direction of codon biases can vary between genes and organisms. While selection maintains biases, the exact interplay between selection, mutation, and drift in determining biases remains an area of ongoing research.
SAGE (Serial analysis of Gene Expression)talhakhat
SAGE (Serial Analysis of Gene Expression) is a technique that allows for the rapid and comprehensive analysis of gene expression patterns in a given cell population. It works by isolating mRNA, synthesizing cDNA, ligating short sequence tags to the cDNA, and then counting the number of times each tag is observed to quantify gene expression levels. The tags are concatenated and sequenced to generate vast amounts of data that must be analyzed computationally to identify which genes particular tags correspond to and to compare expression profiles between cell types. SAGE provides an overview of a cell's complete transcriptional activity and has been applied to study differences in cancer vs normal cells and to identify targets of oncogenes and tumor suppressor genes.
The CATH database hierarchically classifies protein domains obtained from protein structures deposited in the Protein Data Bank. Domain identification and classification uses both manual and automated procedures. CATH includes domains from structures determined at 4 angstrom resolution or better that are at least 40 residues long with 70% or more residues having defined side chains. Submitted protein chains are divided into domains, which are then classified in CATH.
Sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. This is needed as DNA sequencing technology cannot read whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used. Typically the short fragments, called reads, result from shotgun sequencing genomic DNA, or gene transcript (ESTs).
The problem of sequence assembly can be compared to taking many copies of a book, passing each of them through a shredder with a different cutter, and piecing the text of the book back together just by looking at the shredded pieces. Besides the obvious difficulty of this task, there are some extra practical issues: the original may have many repeated paragraphs, and some shreds may be modified during shredding to have typos. Excerpts from another book may also be added in, and some shreds may be completely unrecognizable.
Epigenetics- Transcription regulation of gene expressionakash mahadev
This document provides information about epigenetics and histone modifications. It defines epigenetics as heritable changes in gene function that do not involve changes to the underlying DNA sequence. It discusses how histone modifications such as acetylation and methylation regulate gene expression by altering chromatin structure and recruiting other proteins. DNA methylation is also described as an important epigenetic modification that typically represses transcription. Several families of enzymes that establish these modifications, such as DNA methyltransferases and histone methyltransferases/acetyltransferases, are outlined.
Histones are basic proteins found in eukaryotic cell nuclei that are responsible for DNA folding and chromatin formation. There are two main classes of histones: core histones and linker histones. Core histones include the H2A, H2B, H3, and H4 families, while linker histones include H1 and H5. Histone modification, including acetylation, methylation, and phosphorylation, can impact gene expression by altering the accessibility of DNA. Acetylation reduces the positive charge of histone tails, weakening their interaction with DNA and making it more accessible for transcription. Methylation and phosphorylation can also influence chromatin structure and cellular activity.
This document discusses genomic and cDNA libraries. Genomic libraries are made from genomic DNA and represent all genes in an organism. They require a minimum number of clones to ensure all genes are captured. cDNA libraries are made from mRNA and represent expressed genes, avoiding introns. Key steps in making cDNA libraries include mRNA isolation, cDNA synthesis, addition of linkers, and ligation into a vector. Screening methods to identify clones of interest include hybridization, expression screening, and hybrid arrest/release.
Codon bias refers to the preferential use of some codons over others for an amino acid. While the genetic code is degenerate, different organisms exhibit biases in codon usage. Selection likely plays a role in driving biases through effects on translation efficiency and accuracy, though mutational biases also contribute. The strength and direction of codon biases can vary between genes and organisms. While selection maintains biases, the exact interplay between selection, mutation, and drift in determining biases remains an area of ongoing research.
SAGE (Serial analysis of Gene Expression)talhakhat
SAGE (Serial Analysis of Gene Expression) is a technique that allows for the rapid and comprehensive analysis of gene expression patterns in a given cell population. It works by isolating mRNA, synthesizing cDNA, ligating short sequence tags to the cDNA, and then counting the number of times each tag is observed to quantify gene expression levels. The tags are concatenated and sequenced to generate vast amounts of data that must be analyzed computationally to identify which genes particular tags correspond to and to compare expression profiles between cell types. SAGE provides an overview of a cell's complete transcriptional activity and has been applied to study differences in cancer vs normal cells and to identify targets of oncogenes and tumor suppressor genes.
The CATH database hierarchically classifies protein domains obtained from protein structures deposited in the Protein Data Bank. Domain identification and classification uses both manual and automated procedures. CATH includes domains from structures determined at 4 angstrom resolution or better that are at least 40 residues long with 70% or more residues having defined side chains. Submitted protein chains are divided into domains, which are then classified in CATH.
Sequence assembly refers to aligning and merging fragments from a longer DNA sequence in order to reconstruct the original sequence. This is needed as DNA sequencing technology cannot read whole genomes in one go, but rather reads small pieces of between 20 and 30,000 bases, depending on the technology used. Typically the short fragments, called reads, result from shotgun sequencing genomic DNA, or gene transcript (ESTs).
The problem of sequence assembly can be compared to taking many copies of a book, passing each of them through a shredder with a different cutter, and piecing the text of the book back together just by looking at the shredded pieces. Besides the obvious difficulty of this task, there are some extra practical issues: the original may have many repeated paragraphs, and some shreds may be modified during shredding to have typos. Excerpts from another book may also be added in, and some shreds may be completely unrecognizable.
ChIP-seq is a technique to identify where proteins bind to DNA in the genome. It involves cross-linking proteins to DNA in cells, fragmenting the DNA, immunoprecipitating the protein-DNA complexes using an antibody for the protein of interest, and then sequencing the retrieved DNA. This allows mapping of the genomic binding sites for the protein. The document discusses experimental design considerations for ChIP-seq, such as antibody choice and controls. It also reviews data analysis steps including read mapping, peak calling to identify enriched regions, and downstream analyses like motif finding. Higher resolution techniques like ChIP-exo are also introduced that can identify protein binding sites at base pair level.
''Electrophoretic Mobility Shift Assay'' by KATE, Wisdom DeebekeWisdom Deebeke Kate
This document describes an electrophoretic mobility shift assay (EMSA) presentation. EMSA is a technique used to study interactions between proteins and DNA. It works by detecting a reduction in electrophoretic mobility of DNA when bound to a protein through gel electrophoresis. The presentation aims to describe the basic principles of EMSA, highlight its methods, and discuss applications such as determining binding affinities and studying conformational changes in DNA upon protein binding.
SAGE- Serial Analysis of Gene ExpressionAashish Patel
Serial Analysis of Gene Expression (SAGE) is a method to quantify gene expression in cells. It involves extracting short sequence tags from mRNA transcripts and concatenating them for efficient sequencing. This allows simultaneous analysis of thousands of transcripts. SAGE provides quantitative gene expression data without prior knowledge of genes and can identify differentially expressed genes between cell types or conditions. While powerful, it requires substantial sequencing and computational analysis of large datasets.
The document discusses various methods for structurally aligning proteins, including combinatorial extension, VAST, DALI, SSAP, and TM-align. It also describes Ramachandran plots, which show allowed and favored phi/psi dihedral angle combinations for protein backbone chains based on steric constraints. Structural alignment methods are useful for detecting evolutionary relationships between proteins with low sequence similarity. Ramachandran plots help validate protein structures by identifying conformations not allowed by steric hindrance.
The document discusses various types of mutations that can occur, including missense mutations, nonsense mutations, splice mutations, and frameshift mutations. It provides examples of wild-type and mutant DNA sequences to illustrate frameshift mutations. It also describes techniques used in mutational analysis like allele specific oligonucleotides (ASO), allele-specific real time polymerase chain reaction (PCR), and discusses genes involved in cancer signaling pathways such as EGFR, BRAF, KRAS, and their roles in the RAS/MAPK pathway.
Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). The main advantage of scRNA-seq is that the cellular resolution and the genome wide scope makes it possible to address issues that are intractable using other methods, e.g. bulk RNA-seq or single-cell RT-qPCR. However, to analyze scRNA-seq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNA-seq experiments are no longer valid.
ESTs are short sequences of DNA derived from cDNA clones that represent gene expression in particular cells or tissues. They provide a simple and inexpensive way to discover new genes and map their positions in genomes. To create an EST, mRNA is converted to cDNA and then sequenced, yielding short expressed DNA sequences. ESTs are deposited in public databases like NCBI's dbEST and can help identify genes, construct genome maps, and characterize expressed genes through clustering, assembly, and mapping to genomic sequences. However, isolating mRNA from some tissues can be difficult and ESTs alone do not indicate the genes they were derived from.
Cot curve dispersed repeated DNA or interspersed repeated DNA tandem repeated DNA Long interspersed repeat sequences (LINEs) Short interspersed nuclear elements (SINEs) satellite, minisatellite and microsatellite DNA Variable Number Tandem Repeat (or VNTR)
Comparative genomic hybridization is a molecular cytogenetic method for analysing copy number variations (CNVs) relative to ploidy level in the DNA of a test sample compared to a reference sample, without the need for culturing cells
DNA methylation is an epigenetic mechanism that involves the addition of a methyl group to cytosine residues in DNA. It is catalyzed by DNA methyltransferase enzymes and plays a key role in gene expression and cellular differentiation. Aberrant DNA methylation, including both hypermethylation and hypomethylation, has been associated with cancer development by disrupting gene expression. Detection of DNA methylation patterns can provide insights into cancer biology and may have applications as a diagnostic tool.
This document discusses global and local sequence alignment. It introduces sequence alignment and its uses in identifying similarities between sequences that could indicate functional or evolutionary relationships. It describes the principles of alignment and the different types of alignment, including global alignment, which aligns entire sequences, and local alignment, which matches regions of similarity. Methods for alignment include dot plots, scoring matrices, and dynamic programming. BLAST is introduced as a tool for comparing sequences against databases using local alignment algorithms.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
Zinc finger nucleases (ZFNs) allow for highly targeted editing of the genome. ZFNs consist of a DNA-binding domain made of zinc finger proteins and a DNA-cleaving domain. The ZFN pair binds to a target site and creates a double-strand break, which the cell repairs through non-homologous end joining or homologous recombination, enabling gene knockouts or targeted changes. ZFNs work in many cell types and animal models, providing a more efficient alternative to traditional transgenic techniques. They have applications in functional genomics, cell line engineering, and animal model generation.
New insights into the human genome by ENCODE project Senthil Natesan
The ENCODE project aims to map all functional elements in the human genome. It has identified protein-coding genes covering 2.94% of the genome. ENCODE has also mapped regions of transcription, RNA transcription start sites, protein-bound regions including those bound by 119 DNA-binding proteins, DNase I hypersensitive sites, and regions of histone modification and DNA methylation across different cell types. While providing new insights, the project is still far from complete in mapping the full spectrum of functional elements in the human genome.
1. Chromatin remodeling is the process by which chromatin structure is dynamically modified to allow access of DNA for processes like transcription.
2. There are two main types of chromatin remodeling - covalent histone modification and ATP-dependent chromatin remodeling complexes.
3. ATP-dependent complexes use energy from ATP hydrolysis to move, eject, or restructure nucleosomes, allowing access to DNA.
4. Examples of chromatin remodeling complexes include SWI/SNF, ISWI, CHD, and INO80 families, which have different activities like nucleosome sliding or histone variant exchange.
Gene silencing refers to epigenetic processes that regulate genes by switching them off without genetic modification. There are two main types: transcriptional gene silencing modifies chromatin to make genes inaccessible for transcription, while post-transcriptional gene silencing destroys or blocks mRNA to prevent translation into proteins. Both mechanisms protect organisms from transposons and viruses by silencing foreign DNA. Gene silencing is an ancient immune response and also regulates endogenous genes during processes like meiosis.
In shotgun sequencing the genome is broken randomly into short fragments (1 to 2 kbp long) suitable for sequencing. The fragments are ligated into a suitable vector and then partially sequenced. Around 400–500 bp of sequence can be generated from each fragment in a single sequencing run. In some cases, both ends of a fragment are sequenced. Computerized searching for overlaps between individual sequences then assembles the complete sequence.
Ab initio protein structure prediction uses computational methods to predict a protein's 3D structure from its amino acid sequence. It relies on conformational searching to generate structure decoys and selecting native-like models. The key factors for success are an accurate energy function, efficient search methods like molecular dynamics or genetic algorithms, and effective selection of models close to the native structure. Model selection approaches include energy evaluations, compatibility scores, clustering of similar decoys, and identifying the lowest energy conformations.
Serial Analysis of Gene Expression (SAGE) is a method that allows for the quantitative analysis of gene expression patterns in cells or tissues without prior knowledge of gene sequences. It works by extracting short sequence tags (10-14 base pairs) from the 3' end of transcripts and linking them together in long strings that can be cloned and sequenced simultaneously. This allows for many transcripts to be analyzed from a single sequencing reaction and provides quantitative data on gene expression levels based on tag frequencies. SAGE provides an accurate way to discover genes and analyze overall expression patterns without needing to know full mRNA sequences in advance.
Comparative genomic hybridization (CGH) is a molecular cytogenetic technique that allows detection of copy number variations between a test and reference DNA sample without cell culturing. CGH involves labeling and hybridizing test and reference DNA to normal metaphase chromosomes before visualizing differences in fluorescence to identify regions of gains or losses. While CGH was originally used for cancer research, it can also detect chromosomal abnormalities associated with genetic disorders and has improved resolution over traditional cytogenetic methods. The main limitations of CGH are its inability to detect structural aberrations without copy number changes and resolutions above 5-10 megabases.
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGPuneet Kulyana
This presentation will give you a brief idea about the various DNA sequencing methods and various strategies used for genome sequencing and much more vital information related to gene expression and analysis
This document describes optimization of the Chromosome Conformation Capture (3C) method to assay human fecal samples in order to study horizontal gene transfer between bacteria in the gut microbiome. Initial attempts to apply 3C to fecal samples produced only partially digested DNA. The authors investigated fixation methods and lysate concentrations to improve digestion efficiency. Increasing formaldehyde concentration and diluting lysate concentration enhanced digestion, likely by avoiding inhibitory factors in stool samples. With further optimization, 3C of fecal samples may help elucidate association networks between mobile elements and host bacteria in the gut microbiome.
ChIP-seq is a technique to identify where proteins bind to DNA in the genome. It involves cross-linking proteins to DNA in cells, fragmenting the DNA, immunoprecipitating the protein-DNA complexes using an antibody for the protein of interest, and then sequencing the retrieved DNA. This allows mapping of the genomic binding sites for the protein. The document discusses experimental design considerations for ChIP-seq, such as antibody choice and controls. It also reviews data analysis steps including read mapping, peak calling to identify enriched regions, and downstream analyses like motif finding. Higher resolution techniques like ChIP-exo are also introduced that can identify protein binding sites at base pair level.
''Electrophoretic Mobility Shift Assay'' by KATE, Wisdom DeebekeWisdom Deebeke Kate
This document describes an electrophoretic mobility shift assay (EMSA) presentation. EMSA is a technique used to study interactions between proteins and DNA. It works by detecting a reduction in electrophoretic mobility of DNA when bound to a protein through gel electrophoresis. The presentation aims to describe the basic principles of EMSA, highlight its methods, and discuss applications such as determining binding affinities and studying conformational changes in DNA upon protein binding.
SAGE- Serial Analysis of Gene ExpressionAashish Patel
Serial Analysis of Gene Expression (SAGE) is a method to quantify gene expression in cells. It involves extracting short sequence tags from mRNA transcripts and concatenating them for efficient sequencing. This allows simultaneous analysis of thousands of transcripts. SAGE provides quantitative gene expression data without prior knowledge of genes and can identify differentially expressed genes between cell types or conditions. While powerful, it requires substantial sequencing and computational analysis of large datasets.
The document discusses various methods for structurally aligning proteins, including combinatorial extension, VAST, DALI, SSAP, and TM-align. It also describes Ramachandran plots, which show allowed and favored phi/psi dihedral angle combinations for protein backbone chains based on steric constraints. Structural alignment methods are useful for detecting evolutionary relationships between proteins with low sequence similarity. Ramachandran plots help validate protein structures by identifying conformations not allowed by steric hindrance.
The document discusses various types of mutations that can occur, including missense mutations, nonsense mutations, splice mutations, and frameshift mutations. It provides examples of wild-type and mutant DNA sequences to illustrate frameshift mutations. It also describes techniques used in mutational analysis like allele specific oligonucleotides (ASO), allele-specific real time polymerase chain reaction (PCR), and discusses genes involved in cancer signaling pathways such as EGFR, BRAF, KRAS, and their roles in the RAS/MAPK pathway.
Today it is possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). The main advantage of scRNA-seq is that the cellular resolution and the genome wide scope makes it possible to address issues that are intractable using other methods, e.g. bulk RNA-seq or single-cell RT-qPCR. However, to analyze scRNA-seq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNA-seq experiments are no longer valid.
ESTs are short sequences of DNA derived from cDNA clones that represent gene expression in particular cells or tissues. They provide a simple and inexpensive way to discover new genes and map their positions in genomes. To create an EST, mRNA is converted to cDNA and then sequenced, yielding short expressed DNA sequences. ESTs are deposited in public databases like NCBI's dbEST and can help identify genes, construct genome maps, and characterize expressed genes through clustering, assembly, and mapping to genomic sequences. However, isolating mRNA from some tissues can be difficult and ESTs alone do not indicate the genes they were derived from.
Cot curve dispersed repeated DNA or interspersed repeated DNA tandem repeated DNA Long interspersed repeat sequences (LINEs) Short interspersed nuclear elements (SINEs) satellite, minisatellite and microsatellite DNA Variable Number Tandem Repeat (or VNTR)
Comparative genomic hybridization is a molecular cytogenetic method for analysing copy number variations (CNVs) relative to ploidy level in the DNA of a test sample compared to a reference sample, without the need for culturing cells
DNA methylation is an epigenetic mechanism that involves the addition of a methyl group to cytosine residues in DNA. It is catalyzed by DNA methyltransferase enzymes and plays a key role in gene expression and cellular differentiation. Aberrant DNA methylation, including both hypermethylation and hypomethylation, has been associated with cancer development by disrupting gene expression. Detection of DNA methylation patterns can provide insights into cancer biology and may have applications as a diagnostic tool.
This document discusses global and local sequence alignment. It introduces sequence alignment and its uses in identifying similarities between sequences that could indicate functional or evolutionary relationships. It describes the principles of alignment and the different types of alignment, including global alignment, which aligns entire sequences, and local alignment, which matches regions of similarity. Methods for alignment include dot plots, scoring matrices, and dynamic programming. BLAST is introduced as a tool for comparing sequences against databases using local alignment algorithms.
After sequencing of the genome has been done, the first thing that comes to mind is "Where are the genes?". Genome annotation is the process of attaching information to the biological sequences. It is an active area of research and it would help scientists a lot to undergo with their wet lab projects once they know the coding parts of a genome.
Zinc finger nucleases (ZFNs) allow for highly targeted editing of the genome. ZFNs consist of a DNA-binding domain made of zinc finger proteins and a DNA-cleaving domain. The ZFN pair binds to a target site and creates a double-strand break, which the cell repairs through non-homologous end joining or homologous recombination, enabling gene knockouts or targeted changes. ZFNs work in many cell types and animal models, providing a more efficient alternative to traditional transgenic techniques. They have applications in functional genomics, cell line engineering, and animal model generation.
New insights into the human genome by ENCODE project Senthil Natesan
The ENCODE project aims to map all functional elements in the human genome. It has identified protein-coding genes covering 2.94% of the genome. ENCODE has also mapped regions of transcription, RNA transcription start sites, protein-bound regions including those bound by 119 DNA-binding proteins, DNase I hypersensitive sites, and regions of histone modification and DNA methylation across different cell types. While providing new insights, the project is still far from complete in mapping the full spectrum of functional elements in the human genome.
1. Chromatin remodeling is the process by which chromatin structure is dynamically modified to allow access of DNA for processes like transcription.
2. There are two main types of chromatin remodeling - covalent histone modification and ATP-dependent chromatin remodeling complexes.
3. ATP-dependent complexes use energy from ATP hydrolysis to move, eject, or restructure nucleosomes, allowing access to DNA.
4. Examples of chromatin remodeling complexes include SWI/SNF, ISWI, CHD, and INO80 families, which have different activities like nucleosome sliding or histone variant exchange.
Gene silencing refers to epigenetic processes that regulate genes by switching them off without genetic modification. There are two main types: transcriptional gene silencing modifies chromatin to make genes inaccessible for transcription, while post-transcriptional gene silencing destroys or blocks mRNA to prevent translation into proteins. Both mechanisms protect organisms from transposons and viruses by silencing foreign DNA. Gene silencing is an ancient immune response and also regulates endogenous genes during processes like meiosis.
In shotgun sequencing the genome is broken randomly into short fragments (1 to 2 kbp long) suitable for sequencing. The fragments are ligated into a suitable vector and then partially sequenced. Around 400–500 bp of sequence can be generated from each fragment in a single sequencing run. In some cases, both ends of a fragment are sequenced. Computerized searching for overlaps between individual sequences then assembles the complete sequence.
Ab initio protein structure prediction uses computational methods to predict a protein's 3D structure from its amino acid sequence. It relies on conformational searching to generate structure decoys and selecting native-like models. The key factors for success are an accurate energy function, efficient search methods like molecular dynamics or genetic algorithms, and effective selection of models close to the native structure. Model selection approaches include energy evaluations, compatibility scores, clustering of similar decoys, and identifying the lowest energy conformations.
Serial Analysis of Gene Expression (SAGE) is a method that allows for the quantitative analysis of gene expression patterns in cells or tissues without prior knowledge of gene sequences. It works by extracting short sequence tags (10-14 base pairs) from the 3' end of transcripts and linking them together in long strings that can be cloned and sequenced simultaneously. This allows for many transcripts to be analyzed from a single sequencing reaction and provides quantitative data on gene expression levels based on tag frequencies. SAGE provides an accurate way to discover genes and analyze overall expression patterns without needing to know full mRNA sequences in advance.
Comparative genomic hybridization (CGH) is a molecular cytogenetic technique that allows detection of copy number variations between a test and reference DNA sample without cell culturing. CGH involves labeling and hybridizing test and reference DNA to normal metaphase chromosomes before visualizing differences in fluorescence to identify regions of gains or losses. While CGH was originally used for cancer research, it can also detect chromosomal abnormalities associated with genetic disorders and has improved resolution over traditional cytogenetic methods. The main limitations of CGH are its inability to detect structural aberrations without copy number changes and resolutions above 5-10 megabases.
DNA SEQUENCING METHODS AND STRATEGIES FOR GENOME SEQUENCINGPuneet Kulyana
This presentation will give you a brief idea about the various DNA sequencing methods and various strategies used for genome sequencing and much more vital information related to gene expression and analysis
This document describes optimization of the Chromosome Conformation Capture (3C) method to assay human fecal samples in order to study horizontal gene transfer between bacteria in the gut microbiome. Initial attempts to apply 3C to fecal samples produced only partially digested DNA. The authors investigated fixation methods and lysate concentrations to improve digestion efficiency. Increasing formaldehyde concentration and diluting lysate concentration enhanced digestion, likely by avoiding inhibitory factors in stool samples. With further optimization, 3C of fecal samples may help elucidate association networks between mobile elements and host bacteria in the gut microbiome.
This document discusses HLA (Human Leucocyte Antigen) typing methods. It describes that HLA forms part of the Major Histocompatibility Complex found on chromosome 6 and plays an essential role in the immune response. It summarizes various HLA typing methods including serology, cellular typing, and molecular methods such as PCR-SSP, PCR-SSOP, sequencing-based typing, and Luminex technology. It provides details on the procedures and advantages and disadvantages of each method.
MOLECULAR AND CYTOGENETIC ANALYSIS -BMLS GENERAL &HBT-1.pptxAmosiRichard
Molecular and cytogenetic analysis are essential techniques for diagnosing and managing hematological disorders. Key methods include DNA extraction, PCR, FISH, and next generation sequencing. Clinical applications involve investigating diseases like sickle cell anemia, thalassemias, leukemias, lymphomas, and coagulation disorders. Molecular analysis allows identification of genetic mutations and translocations that underlie these conditions and guides treatment decisions. While providing critical diagnostic information, these techniques also have limitations like risk of infection and interference from therapies.
Systems biology for Medicine' is 'Experimental methods and the big datasetsimprovemed
This document discusses experimental methods used in systems biology to generate large datasets, including microarrays, sequencing-based methods, mass spectrometry, and liquid chromatography. It explains that systems biology studies must be quantitative and enable computational modeling. Key methods covered are microarrays, RNA-seq, ChIP-seq, whole-genome sequencing, whole-exome sequencing, proteomics using mass spectrometry, and combining liquid chromatography with mass spectrometry for lipidomics, metabolomics and glycomics. Sources of variation are also discussed for genomic and proteomic studies.
Genomics is the field of studying genomes through techniques like DNA sequencing and bioinformatics. It aims to understand genome content, organization, function, and evolution. Genomics has two main areas - structural genomics determines genome sequence and organization, while functional genomics studies gene function. A third area, comparative genomics, compares genomes across species. Genomics research has contributed to human health, agriculture and other fields by providing gene sequences. Comparing genome sequences is also improving understanding of evolution and life's history.
DNA-Protein interaction by 3C based method.pptxKashvi Jadia
This ppt includes different 3C based techniques for study of DNA-Protein interaction. Data from given research papers are taken for education purpose only,.
This document discusses screening methods for anti-cancer agents. It begins with an introduction to cancer, noting that cancer is caused by uncontrolled cell proliferation due to genetic mutations from carcinogens. It then discusses the need for novel anti-cancer drugs due to issues like drug resistance and side effects. The document outlines several in vitro and in vivo screening methods, including membrane integrity assays, functional assays, DNA labeling assays, morphological assays, and reproductive assays. Specific assays discussed in more detail include MTT, LDH, annexin V/PI, trypan blue, and colony forming assays. The document provides details on the principles, advantages and disadvantages of these various screening methods.
Cell, in biology, the basic membrane-bound unit that contains the fundamental molecules of life and of which all living things are composed. A single cell is often a complete organism in itself, such as a bacterium or yeast. Other cells acquire specialized functions as they mature. These cells cooperate with other specialized cells and become the building blocks of large multicellular organisms, such as humans and other animals. Although cells are much larger than atoms, they are still very small. The smallest known cells are a group of tiny bacteria called mycoplasmas; some of these single-celled organisms are spheres as small as 0.2 μm in diameter (1μm = about 0.000039 inch), with a total mass of 10−14 gram—equal to that of 8,000,000,000 hydrogen atoms. Cells of humans typically have a mass 400,000 times larger than the mass of a single mycoplasma bacterium, but even human cells are only about 20 μm across. It would require a sheet of about 10,000 human cells to cover the head of a pin, and each human organism is composed of more than 30,000,000,000,000 cells.
similarities and differences between cells
similarities and differences between cells
Basic similarities between cells and ways cells may vary depending on their function.
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This article discusses the cell both as an individual unit and as a contributing part of a larger organism. As an individual unit, the cell is capable of metabolizing its own nutrients, synthesizing many types of molecules, providing its own energy, and replicating itself in order to produce succeeding generations. It can be viewed as an enclosed vessel, within which innumerable chemical reactions take place simultaneously. These reactions are under very precise control so that they contribute to the life and procreation of the cell. In a multicellular organism, cells become specialized to perform different functions through the process of differentiation. In order to do this, each cell keeps in constant communication with its neighbours. As it receives nutrients from and expels wastes into its surroundings, it adheres to and cooperates with other cells. Cooperative assemblies of similar cells form tissues, and a cooperation between tissues in turn forms organs, which carry out the functions necessary to sustain the life of an organism.
Cell junctions connect neighboring cells and play important roles in tissue structure and function. There are three main types of cell junctions: occluding junctions which seal cells together, communicating junctions which allow exchange of substances between cells, and anchoring junctions which provide structural attachment between cells. Important cell adhesion molecules that mediate cell-cell and cell-matrix interactions include cadherins, selectins, integrins, and the immunoglobulin superfamily. Gap junctions allow direct diffusion of ions and molecules between cells while tight junctions form a virtually impermeable barrier between cells. Desmosomes connect cells through intermediate filaments.
Cell junctions connect neighboring cells and play important roles in tissue structure and function. There are three main types of cell junctions: occluding junctions which seal cells together, communicating junctions which allow exchange of substances between cells, and anchoring junctions which provide structural attachment between cells. Specific cell junctions include tight junctions, desmosomes, gap junctions, and hemidesmosomes. Cell adhesion molecules such as cadherins, selectins, and integrins are transmembrane proteins that mediate cell-cell and cell-matrix adhesion and are important for processes like development, wound healing, and immunity.
This study performed a genome-wide analysis of DNA methylation in colorectal carcinoma (CRC) tissue samples from 24 Bangladeshi patients. The researchers found a total of 627 differentially methylated loci covering 513 genes when comparing CRC tissue to normal adjacent tissue, with 535 loci covering 465 genes being newly identified. Gene set enrichment analysis showed hypermethylation in CRC of gene sets related to inhibition of adenylate cyclase activity, Rac guanyl-nucleotide exchange factor activity, regulation of retinoic acid receptor signaling, and estrogen receptor activity. Predictive models based on differentially methylated loci showed potential for CRC diagnosis with around 89% sensitivity and specificity.
Cytogenetics is the study of chromosomes and their structure, number, and abnormalities. Key techniques include karyotyping, G-banding, fluorescence in situ hybridization (FISH), and molecular cytogenetics. Several clinical cases were presented involving abnormalities detected by cytogenetic analysis, such as Down syndrome, chronic myeloid leukemia, myelodysplastic syndrome, and acute promyelocytic leukemia. A total of 55 conventional cytogenetics studies and 15 bone marrow cytogenetics studies were performed, with various abnormalities identified. Future plans include expanding FISH and PCR testing.
Sequencing the circulating and infiltrating T-cell repertoire on the Ion S5TMThermo Fisher Scientific
T-Cell receptor (TCR) repertoire sequencing by next-generation
sequencing (NGS) is a valuable tool for building a deeper
understanding of the adaptive immune system. As immunotherapy,
particularly T-cell therapies, show increasing potential in treating
cancer, the ability to gain a detailed, unbiased view of the TCR
repertoire becomes imperative for biomarker discovery, immune
response to treatment, and study of tumor microenvironments. A key
question the field seeks to understand is the relationship between
circulating T-cells and infiltrating T-cells at the tumor site. Here, we
present a novel AmpliSeq approach for TCR repertoire sequencing
using the Ion Torrent S5 sequencer which leverages simplified
workflows and offers up to 600 bp reads which allow for a more
complete characterization of the entire V(D)J region of TCRβ. With a
unique long read length capability, this method can leverage mRNA as
input, which minimizes requirement as starting materials (10-500ng for
typical use cases) and focusing sequencing to productive TCRβ
arrangements.
The document summarizes various genetic techniques including PCR, restriction mapping, the human genome project, in situ hybridization, and cloning the gene responsible for alkaptonuria. It provides an example of how PCR, genomic libraries, DNA sequencing, and other methods were used to clone the HGO gene involved in alkaptonuria. Ethical considerations are discussed around using genetic testing to predict late-onset genetic disorders in fetuses.
Cell junctions can be classified into three main types - occluding junctions, communicating junctions, and anchoring junctions. Occluding junctions prevent molecules from passing between cells, like tight junctions. Communicating junctions allow exchange of substances between cells, like gap junctions. Anchoring junctions provide structural attachment between cells or cells and the extracellular matrix, like desmosomes. Cell adhesion molecules are important proteins that promote cell-cell and cell-matrix interactions and are involved in processes like embryonic development, wound healing, and intracellular signaling. Major families of cell adhesion molecules include cadherins, selectins, integrins, and the immunoglobulin superfamily.
Advances in Molecular Cytogenetics: Potential for Crop Improvement.pptxKanshouwaModunshim
Title: Exploring Advances in Cytogenetics and Molecular Cytogenetics
Description:
Delve into the intricate world of cytogenetics and its cutting-edge counterpart, molecular cytogenetics, through this insightful presentation. Understand the profound relationship between chromosome structure, behavior, and gene function, with a particular focus on their relevance to crop improvement programs.
Key Points:
Introduction to Cytogenetics: Explore the fundamental principles of cytogenetics, its historical significance, and the recent influence of molecular tools, leading to the emergence of molecular cytogenetics.
Importance in Crop Improvement: Uncover the pivotal role of molecular cytogenetics in crop improvement programs, offering insights into the structural and functional organization of genomes within chromosomes.
Karyotyping: Gain a comprehensive understanding of karyotyping, its significance in identifying chromosomal abnormalities, and its applications in studying evolutionary relationships among different taxa.
Chromosome Identification and Sorting: Learn about the techniques involved in the identification and sorting of individual chromosomes, crucial steps in cytogenetics research for various crops.
Chromosome Banding Techniques: Explore different chromosome banding techniques, such as G-Banding and C-Banding, and understand their applications in detecting structural rearrangements.
CHIAS (Chromosome Image Analyzing System): Get insights into the CHIAS software and its role in mapping and identifying chromosomes automatically.
Flow Cytometry: Discover the applications of flow cytometry in detecting and measuring physical and chemical characteristics of cells, with a focus on its relevance in chromosome research.
In Situ Hybridization: Explore the technique of in situ hybridization, particularly the fluorescent variant, and its applications in precise localization of specific DNA segments.
Genomics and Whole Genome Sequencing: Delve into the realm of genomics and whole-genome sequencing, understanding the approaches like BAC to BAC and Whole Genome Shotgun.
Case Study: Uncover a case study involving the identification of a Wheat-Psathyrostachys huashanica ditelosomic addition line, showcasing the practical applications of the discussed techniques.
Conclusion: Summarize the key takeaways from the presentation, emphasizing the role of these techniques in advancing precision breeding and crop improvement.
Top down proteomics of soluble and integral membrane proteinsExpedeon
Mitochondria provide important cellular functions including
oxidative phosphorylation, fatty acid biosynthesis, and acting as
gatekeepers to apoptosis.
This report describes a homology model of CCR3, a chemokine GPCR receptor, based on the relatively new crystallographic CCR5 template.
This model was not published at the time of writing this report. The report also discusses concisely the criteria for selection of a template.
Minimal criteria for defining multipotent mesenchymal stromal cells. The International Society for Cellular Therapy position statement M Dominici1, K Le Blanc2, I Mueller3, I Slaper-Cortenbach4, FC Marini5, DS Krause6, RJ Deans7, A Keating8, DJ Prockop9 and EM Horwitz10
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
3. Chromosome conformation
capture techniques are a set of molecular
biology approaches used to analyze the
spatial organization of chromatin and
interaction of genomic regions in a cell.
3C
4C
5C
Hi-C
The Hi-C method allows unbiased, genome-
wide identification of chromatin interactions.
What Is CCC family ?
6. Cells are fixed in 1% final concentration
of formaldehyde
After crosslinking, the remaining
formaldehyde is isolated with an excess
of glycine.
Then the cells are harvested by
centrifugation
1. Cell Culture and Crosslinking of
Chromatin
8. Restriction Enzyme Digestion
Accessible chromatin is then
digested with a type II restriction
endonuclease, e.g. HindIII, at 37 C
overnight.
The HindIII enzyme recognizes the
sequence:5’-AAGCTT-3’and cleaves
the DNA, leaving a 5’ overhang of:
5’-AGCT-3’.
Filling Overhangs
The 5’ overhang is filled in by the
DNA polymerase I using equimolar
amounts of all deoxyribonucleotides
9. This cleavage provides a template for
labeling the restriction fragments with
biotin-14-dCTP
The ligation of two completely filled-in HindIII
sites forms a NheI site: 5’ -GCTAGC-3’
3.Biotin marking of DNA ends
and blunt end ligation
10. The chromatin complexes containing
the biotin-labeled ligation products
are degraded by incubation with
Proteinase K at 65 C.
5.Streptavidin pull-down
Molecules with internal biotin
incorporation are pulled down with
streptavidin coated magnetic beads and
modified for deep sequencing.
4.DNA Purification
11. 6.Paired-End Adapter Ligation
and Library Amplification
Ligation of the Illumina Paired-end
Adapters is while the Hi-C library
is bound to the streptavidin
beads.
The adsorption of the DNA to the
beads increases the efficiency of
adapter ligation by decreasing the
mobility of the DNA fragments.
PCR amplify the library
13. Advantages of HI-C
1. High resolution compared to 3C
2. Characterize the structure of the entire genome.
3. It uncovers large blocks of multiple interactions between
one chromosome and another.
4. Quantify interactions between all possible pairs of
fragments simultaneously.
5. High throughput sequencing .
6. Data produced with hi-c is more comprehensive then
other 3-c type methods.
7. Correlated genome architecture with several genomic
features like replication timing.
14. Cont.
8. Interactions can be detected even over relatively large
genomic-distances.
9. Exhibit a high cis-/trans-interaction ratio
10. Hi-C can applied to single cells
11. Detect both known and novel, balanced and unbalanced
chromosomal rearrangements from cell lines and human
tumour samples
12. Due to high sequence coverage not being required, Hi-C
costs significantly less than deep WGS
13. Hi-C does not require dividing cells and can be used on all
nucleated cell types
15. Disadvantages of HI-C
1. Less resolution then 4C.
2. Workload increase compared to 4C and 5C.
3. Complexity of HI-C library is very high.
4. Hi-C technique cannot distinguish whether interactions are
stable and present in some cells, and non-existent in others
5. Background noise is one of the major disadvantage.
6. Evaluation of the random ligation noise in the final library is
expensive and time consuming.
7. HI-C has relatively few biases.