The document describes a feed-forward loop (FFL) network motif. An FFL consists of two input transcription factors where one regulates the other and they jointly regulate a third gene. FFLs can have coherent or incoherent logic and either AND or OR logic. The document then discusses the structure and functions of FFLs, including how they can filter signals and respond to persistent stimuli. It also describes developing a database of FFLs to analyze regulatory networks.
Network Biology: A paradigm for modeling biological complex systemsGanesh Bagler
These slides are part of the two lectures delivered at the as part of the 'National Workshop on Network Modelling and Graph Theory' (Dec 14-16, 2017) at Department of Mathematics, Dibrugarh University, Assam, India.
(1) Network Biology: A paradigm for integrative modeling of biological complex systems -- 14 Dec 2017, 3:30pm
(2) Applications of network modeling in biomedicine -- 15 Dec 2017, 9:00pm
Sponsored by UGC under SAP DRS (II)
(1) Workshop link: https://www.dibru.ac.in/upcoming-events/2981-national-workshop-on-network-modelling-and-graph-theory
(2) The Workshop Flyer: https://www.dibru.ac.in/images/uploaded_files/2017/Nov/National_Workshop_on_Network_Modelling_and_Graph_Theory.pdf
Network Biology: A paradigm for modeling biological complex systemsGanesh Bagler
These slides are part of the two lectures delivered at the as part of the 'National Workshop on Network Modelling and Graph Theory' (Dec 14-16, 2017) at Department of Mathematics, Dibrugarh University, Assam, India.
(1) Network Biology: A paradigm for integrative modeling of biological complex systems -- 14 Dec 2017, 3:30pm
(2) Applications of network modeling in biomedicine -- 15 Dec 2017, 9:00pm
Sponsored by UGC under SAP DRS (II)
(1) Workshop link: https://www.dibru.ac.in/upcoming-events/2981-national-workshop-on-network-modelling-and-graph-theory
(2) The Workshop Flyer: https://www.dibru.ac.in/images/uploaded_files/2017/Nov/National_Workshop_on_Network_Modelling_and_Graph_Theory.pdf
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...Mekhla Diwan
It contains the information about Immuno informatics, immune cell development, Immunological database management and tools used for immuno informatics, all about Microarray and DNA MIcroArray experiment, Micro Array Data Classificationa and Machine learning Overview.
14th International Conference on Intelligent Systems for Molecular Biology, Software demo, Fortaleza Conference Center, Fortaleza, Brazil, August 6-10, 2006
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...SELF-EXPLANATORY
This pdf is about the protein structure classification/domain prediction: SCOP and CATH (Bioinformatics).
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
it will help you to understand how the protein microarrays are made, what are the different types and what all purposes they are used for. its very useful ppt
Interactomics, Integromics to Systems Biology: Next Animal Biotechnology Fron...Varij Nayan
“Organisms function in an integrated manner-our senses, our muscles, our metabolism and our minds work together seamlessly. But biologists have historically studied organisms part by part and celebrated the modern ability to study them molecule by molecule, gene by gene. Systems biology is critical science of future that seeks to understand the integration of the pieces to form biological
systems”
(David Baltimore, Nobel Laureate)
Prediction of the three dimensional structure of a given protein sequence i.e. target protein from the amino acid sequence of a homologous (template) protein for which an X-ray or NMR structure is available based on an alignment to one or more known protein structures
Mass Spectrometry-Based Proteomics Quantification: iTRAQ Creative Proteomics
For more information, please visit: https://www.creative-proteomics.com/services/itraq-based-proteomics-analysis.htm
iTRAQ (isobaric tag for relative and absolute quantitation), is an isobaric labeling method to determine the amount of proteins from different sources in just one single experiment by mass spectrometry, which was developed by Applied Biosystems Incorporation in 2004.
Proteomics studies play an increasing role in the field of biology. The use of mass spectrometry (MS) in combination with a range of separation methods is the main principal methodology for proteomics. The two principal approaches to identifying and characterizing proteins using MS are the “bottom-up”, which analyze peptides by proteolytic digestion, and “top-down”, which analyze intact proteins.
IMMUNOINFORMATICS , MICROARRAY and Machine Learning - All about Immunology, I...Mekhla Diwan
It contains the information about Immuno informatics, immune cell development, Immunological database management and tools used for immuno informatics, all about Microarray and DNA MIcroArray experiment, Micro Array Data Classificationa and Machine learning Overview.
14th International Conference on Intelligent Systems for Molecular Biology, Software demo, Fortaleza Conference Center, Fortaleza, Brazil, August 6-10, 2006
Protein structure classification/domain prediction: SCOP and CATH (Bioinforma...SELF-EXPLANATORY
This pdf is about the protein structure classification/domain prediction: SCOP and CATH (Bioinformatics).
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
it will help you to understand how the protein microarrays are made, what are the different types and what all purposes they are used for. its very useful ppt
Interactomics, Integromics to Systems Biology: Next Animal Biotechnology Fron...Varij Nayan
“Organisms function in an integrated manner-our senses, our muscles, our metabolism and our minds work together seamlessly. But biologists have historically studied organisms part by part and celebrated the modern ability to study them molecule by molecule, gene by gene. Systems biology is critical science of future that seeks to understand the integration of the pieces to form biological
systems”
(David Baltimore, Nobel Laureate)
Prediction of the three dimensional structure of a given protein sequence i.e. target protein from the amino acid sequence of a homologous (template) protein for which an X-ray or NMR structure is available based on an alignment to one or more known protein structures
Mass Spectrometry-Based Proteomics Quantification: iTRAQ Creative Proteomics
For more information, please visit: https://www.creative-proteomics.com/services/itraq-based-proteomics-analysis.htm
iTRAQ (isobaric tag for relative and absolute quantitation), is an isobaric labeling method to determine the amount of proteins from different sources in just one single experiment by mass spectrometry, which was developed by Applied Biosystems Incorporation in 2004.
Proteomics studies play an increasing role in the field of biology. The use of mass spectrometry (MS) in combination with a range of separation methods is the main principal methodology for proteomics. The two principal approaches to identifying and characterizing proteins using MS are the “bottom-up”, which analyze peptides by proteolytic digestion, and “top-down”, which analyze intact proteins.
1. BACA THEODOR-STEFAN and SINIAVSCHI RADU
MASTER ITEMS 2012
FEED-FORWARD LOOP
CENTRAL DATABASE
Based on the article: STRUCTURE AND FUNCTION OF THE
FEED-FORWARD LOOP NETWORK MOTIF by S. Mangan and U. Alon
2. What is a FEED-FORWARD LOOP?
Feed-forward loop (FFL) is a motif,
consisting in a three-gene pattern
composed of two input transcription
factors. Each of the three interactions in
the FFL can be either activating or
repressing (coherent or incoherent).
Simple
regulation
of Z by X
and Y.
Transcription factor X regulates transcription factor
Y, and both jointly regulate Z. Sx and Sy are the
inducers of X and Y, respectively. The action of X
and Y is integrated at the Z promoter with a cis-
regulatory input function , such as AND or OR logic.
4. COHERENT and INCOHERENT FFL type
•
Decide from fluctuating signal
•
Filter out pulses
•
Respond to persistent stimulations
•
Rapidly shut down
•
Easly reverse
•
Initially reacts strongly
•
Later comes back to intermediate
levels
6. Coherent Type-1 FFL – AND logic
Sx appear, X rapidly changes to X*
X* binds to gene Z, but cannot activate it
X* binds to gene Y, and begins to transcript it
Z begins to be expressed after Ton time, when Y* crosses the
activation threshold Kyz
14. The FFL Database
An user-friendly web app that integrates feed forward loops so scientists and other
enthusiasts could use the results for educational and scientifical purposes.
15. The FFL Database
An user-friendly web app that integrates feed forward loops so scientists and other
enthusiasts could use the results for educational and scientifical purposes.
17. Methods of FFL Database
Search where we can get information about the regulatory networks
Get from the information about the regulation by Transcription Factors.
Construct an algorithm to extract the FFL motives different organisms
regulatory networks.
Make a hierarchical clasiffication of FFLs elements.
Make a clasiffication acording to the origin of the signal that TFs sense.
Search for differences betwen the data on each position of the FFLs
making statistical tests to validate significance.
18. CONCLUSIONS
Incoherent FFLs – sign-sensitive accelerators.
Coherent FFLs – sign-sensitive delays.
Some FFL occur more often than the others.
Observe how TFs that detect different-origin signals compose
Observe the dinamics on the TRN looking for the formation of specific
topological structure, FFL
Search for significative differences on the data by statistical tests on
each position of the FFLs.