Human plakoglobin is 81.7 kDa in molecular weight and 745 amino acids long. The JUP gene contains 13 exons spanning 17 kb on chromosome 17q21. Plakoglobin is a member of the catenin family, since it contains a distinct repeating amino acid motif called the armadillo repeat. Plakoglobin is highly homologous to β-catenin; both have 12 armadillo repeats as well as N-terminal and C-terminal globular domains of unknown structure. Plakoglobin was originally identified as a component of desmosomes, where it can bind to the cadherin family member desmoglein I. Plakoglobin also associates with classical cadherins such as E-cadherin; in that context, it was called gamma-catenin. Plakoglobin forms distinct complexes with cadherins and desmosomal cadherins.
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
published: 17 Oct 2017
Desmosomes: Structure and Functions
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the adaptors they use to bind to intermediate filaments giving mechanical resistance to tissues: plakophilin, plakoglobin and desmoplakin.
Free slides at: https://www.flipyourlearning.com/desmosomas (bottom of the page)
published: 31 May 2021
How to Pronounce Plakoglobin
This video shows you how to pronounce Plakoglobin
published: 01 Jun 2015
Transcription in Myc-Related Cancers
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn more about how RNA Polymerase II and the Super Elongation protein complex (SEC) influence gene transcription and how their misregulation may lead to disease.
Researchers in Shilatifard’s laboratory are studying these mechanisms in order to understand the evolution of cancer and potentially discover targets for novel cancer therapeutics.
This video was produced by Dani Bergey from the Biomedical Visualization graduate program at the University of Illinois at Chicago.
__________________________________________________________
Related links:
Dani Bergey: https://www.danibergey.com/
Biomedical Visualization program at UIC: https://ahs.u...
published: 02 Oct 2019
Desmosomes
In this video we have discussed about the desmosomes .
published: 12 Dec 2023
Lecture-58: Inherited disorders of cornification, Part 4. Syndromic keratodermas. Rook's chapter 65.
Also includes Porokeratosis and perforating disorders.
Detecting Gene Ontology misannotations using taxon-specific rate ratio comparisons - Chengxin Zhang - Bio-Ontologies - ISMB 2020
published: 13 Jan 2021
Induction of Adherens Junctions within Granuloma Macrophages
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frames display maximum projection images of 70 μm.
Read more from Cronan et al. (2016) in Immunity: http://www.cell.com/immunity/fulltext/S1074-7613(16)30383-1
published: 05 Oct 2017
Death 2 Pathways_pt2_Biological information available for correlations
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to members of the Gates Center Summer Internship Program (GSIP). Videos provide support for data-driven, cell-specific methods for identifying gene-centered signaling networks using transcriptome data. Pearson correlations are used to find related genes to a target of interest in two large lung cancer cell line datasets. The intersection of correlated genes between the two datasets is used to vastly reduce the number of false positives and to construct the target-specific network. The target genes Junction Plakoglobin (JUP) and Glycogen Synthase Kinase 3 Beta (GSK3B) are used as examples in the presentation (references given below).
S...
published: 20 Jun 2017
Understanding Bioinformatics_Part 4_Using the crowd to find genes related to JUP
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Sept.17, 2015. Part 4 of the lecture gives a demonstration on how we can use correlation and different datasets to find connected genes. In this example, I use two different lung cancer cell line gene expression datasets to find common genes correlated to Junction Plakoglobin (JUP).
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove -...
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the a...
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the adaptors they use to bind to intermediate filaments giving mechanical resistance to tissues: plakophilin, plakoglobin and desmoplakin.
Free slides at: https://www.flipyourlearning.com/desmosomas (bottom of the page)
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the adaptors they use to bind to intermediate filaments giving mechanical resistance to tissues: plakophilin, plakoglobin and desmoplakin.
Free slides at: https://www.flipyourlearning.com/desmosomas (bottom of the page)
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn mo...
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn more about how RNA Polymerase II and the Super Elongation protein complex (SEC) influence gene transcription and how their misregulation may lead to disease.
Researchers in Shilatifard’s laboratory are studying these mechanisms in order to understand the evolution of cancer and potentially discover targets for novel cancer therapeutics.
This video was produced by Dani Bergey from the Biomedical Visualization graduate program at the University of Illinois at Chicago.
__________________________________________________________
Related links:
Dani Bergey: https://www.danibergey.com/
Biomedical Visualization program at UIC: https://ahs.uic.edu/biomedical-health-information-sciences/admissions-and-programs/ms-in-biomedical-visualization/
Simpson Querrey Center for Epigenetics: https://www.feinberg.northwestern.edu/sites/epigenetics/
Shilatifard Laboratory: https://labs.feinberg.northwestern.edu/shilatifard/
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn more about how RNA Polymerase II and the Super Elongation protein complex (SEC) influence gene transcription and how their misregulation may lead to disease.
Researchers in Shilatifard’s laboratory are studying these mechanisms in order to understand the evolution of cancer and potentially discover targets for novel cancer therapeutics.
This video was produced by Dani Bergey from the Biomedical Visualization graduate program at the University of Illinois at Chicago.
__________________________________________________________
Related links:
Dani Bergey: https://www.danibergey.com/
Biomedical Visualization program at UIC: https://ahs.uic.edu/biomedical-health-information-sciences/admissions-and-programs/ms-in-biomedical-visualization/
Simpson Querrey Center for Epigenetics: https://www.feinberg.northwestern.edu/sites/epigenetics/
Shilatifard Laboratory: https://labs.feinberg.northwestern.edu/shilatifard/
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frame...
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frames display maximum projection images of 70 μm.
Read more from Cronan et al. (2016) in Immunity: http://www.cell.com/immunity/fulltext/S1074-7613(16)30383-1
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frames display maximum projection images of 70 μm.
Read more from Cronan et al. (2016) in Immunity: http://www.cell.com/immunity/fulltext/S1074-7613(16)30383-1
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to me...
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to members of the Gates Center Summer Internship Program (GSIP). Videos provide support for data-driven, cell-specific methods for identifying gene-centered signaling networks using transcriptome data. Pearson correlations are used to find related genes to a target of interest in two large lung cancer cell line datasets. The intersection of correlated genes between the two datasets is used to vastly reduce the number of false positives and to construct the target-specific network. The target genes Junction Plakoglobin (JUP) and Glycogen Synthase Kinase 3 Beta (GSK3B) are used as examples in the presentation (references given below).
Sechler M, Borowicz S, Van Scoyk M, Avasarala S, Zerayesus S, Edwards MG, et al. Novel role for γ-catenin in the regulation of cancer cell migration via the induction of hepatocyte growth factor activator inhibitor type 1 (HAI-1). Journal of Biological Chemistry. 2015 Jun 19;290(25): 15610–20.
Hoffman O, Burns N, Vadász I, Eltzschig HK, Edwards MG, Vohwinkel CU (2017) Detrimental ELAVL-1/HuR-dependent GSK3β mRNA stabilization impairs resolution in acute respiratory distress syndrome. PLoS ONE 12(2): e0172116. pmid:28196122
For all business or lecture requests, you can contact me, Dr. Michael Edwards from Bioinfo Solutions, at this email address: michael.edwards@bioinfosolutions.com.
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to members of the Gates Center Summer Internship Program (GSIP). Videos provide support for data-driven, cell-specific methods for identifying gene-centered signaling networks using transcriptome data. Pearson correlations are used to find related genes to a target of interest in two large lung cancer cell line datasets. The intersection of correlated genes between the two datasets is used to vastly reduce the number of false positives and to construct the target-specific network. The target genes Junction Plakoglobin (JUP) and Glycogen Synthase Kinase 3 Beta (GSK3B) are used as examples in the presentation (references given below).
Sechler M, Borowicz S, Van Scoyk M, Avasarala S, Zerayesus S, Edwards MG, et al. Novel role for γ-catenin in the regulation of cancer cell migration via the induction of hepatocyte growth factor activator inhibitor type 1 (HAI-1). Journal of Biological Chemistry. 2015 Jun 19;290(25): 15610–20.
Hoffman O, Burns N, Vadász I, Eltzschig HK, Edwards MG, Vohwinkel CU (2017) Detrimental ELAVL-1/HuR-dependent GSK3β mRNA stabilization impairs resolution in acute respiratory distress syndrome. PLoS ONE 12(2): e0172116. pmid:28196122
For all business or lecture requests, you can contact me, Dr. Michael Edwards from Bioinfo Solutions, at this email address: michael.edwards@bioinfosolutions.com.
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Se...
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Sept.17, 2015. Part 4 of the lecture gives a demonstration on how we can use correlation and different datasets to find connected genes. In this example, I use two different lung cancer cell line gene expression datasets to find common genes correlated to Junction Plakoglobin (JUP).
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Sept.17, 2015. Part 4 of the lecture gives a demonstration on how we can use correlation and different datasets to find connected genes. In this example, I use two different lung cancer cell line gene expression datasets to find common genes correlated to Junction Plakoglobin (JUP).
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the adaptors they use to bind to intermediate filaments giving mechanical resistance to tissues: plakophilin, plakoglobin and desmoplakin.
Free slides at: https://www.flipyourlearning.com/desmosomas (bottom of the page)
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn more about how RNA Polymerase II and the Super Elongation protein complex (SEC) influence gene transcription and how their misregulation may lead to disease.
Researchers in Shilatifard’s laboratory are studying these mechanisms in order to understand the evolution of cancer and potentially discover targets for novel cancer therapeutics.
This video was produced by Dani Bergey from the Biomedical Visualization graduate program at the University of Illinois at Chicago.
__________________________________________________________
Related links:
Dani Bergey: https://www.danibergey.com/
Biomedical Visualization program at UIC: https://ahs.uic.edu/biomedical-health-information-sciences/admissions-and-programs/ms-in-biomedical-visualization/
Simpson Querrey Center for Epigenetics: https://www.feinberg.northwestern.edu/sites/epigenetics/
Shilatifard Laboratory: https://labs.feinberg.northwestern.edu/shilatifard/
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frames display maximum projection images of 70 μm.
Read more from Cronan et al. (2016) in Immunity: http://www.cell.com/immunity/fulltext/S1074-7613(16)30383-1
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to members of the Gates Center Summer Internship Program (GSIP). Videos provide support for data-driven, cell-specific methods for identifying gene-centered signaling networks using transcriptome data. Pearson correlations are used to find related genes to a target of interest in two large lung cancer cell line datasets. The intersection of correlated genes between the two datasets is used to vastly reduce the number of false positives and to construct the target-specific network. The target genes Junction Plakoglobin (JUP) and Glycogen Synthase Kinase 3 Beta (GSK3B) are used as examples in the presentation (references given below).
Sechler M, Borowicz S, Van Scoyk M, Avasarala S, Zerayesus S, Edwards MG, et al. Novel role for γ-catenin in the regulation of cancer cell migration via the induction of hepatocyte growth factor activator inhibitor type 1 (HAI-1). Journal of Biological Chemistry. 2015 Jun 19;290(25): 15610–20.
Hoffman O, Burns N, Vadász I, Eltzschig HK, Edwards MG, Vohwinkel CU (2017) Detrimental ELAVL-1/HuR-dependent GSK3β mRNA stabilization impairs resolution in acute respiratory distress syndrome. PLoS ONE 12(2): e0172116. pmid:28196122
For all business or lecture requests, you can contact me, Dr. Michael Edwards from Bioinfo Solutions, at this email address: michael.edwards@bioinfosolutions.com.
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Sept.17, 2015. Part 4 of the lecture gives a demonstration on how we can use correlation and different datasets to find connected genes. In this example, I use two different lung cancer cell line gene expression datasets to find common genes correlated to Junction Plakoglobin (JUP).
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
What does plakoglobin mean?
A spoken definition of plakoglobin.
Intro Sound:
Typewriter - Tamskp
Licensed under CC:BA 3.0
Outro Music:
Groove Groove - Kevin MacLeod (incompetech.com)
Licensed under CC:BA 3.0
Intro/Outro Photo:
The best days are not planned - Marcus Hansson
Licensed under CC-BY-2.0
Book Image:
Open Book template PSD - DougitDesign
Licensed under CC:BA 3.0
Text derived from:
http://en.wiktionary.org/wiki/plakoglobin
¿What are desmosomes? ¿What do they do? ¿What proteins are they made of? Here we talk about desmoglein and desmocolin, the desmosomal cadherins, and about the adaptors they use to bind to intermediate filaments giving mechanical resistance to tissues: plakophilin, plakoglobin and desmoplakin.
Free slides at: https://www.flipyourlearning.com/desmosomas (bottom of the page)
Healthy cells regulate gene transcription as an essential checkpoint to prevent uncontrolled cellular growth that leads to disease.
Watch this video to learn more about how RNA Polymerase II and the Super Elongation protein complex (SEC) influence gene transcription and how their misregulation may lead to disease.
Researchers in Shilatifard’s laboratory are studying these mechanisms in order to understand the evolution of cancer and potentially discover targets for novel cancer therapeutics.
This video was produced by Dani Bergey from the Biomedical Visualization graduate program at the University of Illinois at Chicago.
__________________________________________________________
Related links:
Dani Bergey: https://www.danibergey.com/
Biomedical Visualization program at UIC: https://ahs.uic.edu/biomedical-health-information-sciences/admissions-and-programs/ms-in-biomedical-visualization/
Simpson Querrey Center for Epigenetics: https://www.feinberg.northwestern.edu/sites/epigenetics/
Shilatifard Laboratory: https://labs.feinberg.northwestern.edu/shilatifard/
Movie of Tg(mfap4:tomato-caax); Gt(jup-citrine)ct520a animal shown in Figure 2. Magenta: macrophages, M. marinum: cyan, and green: plakoglobin. Individual frames display maximum projection images of 70 μm.
Read more from Cronan et al. (2016) in Immunity: http://www.cell.com/immunity/fulltext/S1074-7613(16)30383-1
“Death to Pathways! A Case for Data-Driven, Cell-Specific Networks”. Lecture given on June 19, 2017, at the University of Colorado Anschutz Medical Campus to members of the Gates Center Summer Internship Program (GSIP). Videos provide support for data-driven, cell-specific methods for identifying gene-centered signaling networks using transcriptome data. Pearson correlations are used to find related genes to a target of interest in two large lung cancer cell line datasets. The intersection of correlated genes between the two datasets is used to vastly reduce the number of false positives and to construct the target-specific network. The target genes Junction Plakoglobin (JUP) and Glycogen Synthase Kinase 3 Beta (GSK3B) are used as examples in the presentation (references given below).
Sechler M, Borowicz S, Van Scoyk M, Avasarala S, Zerayesus S, Edwards MG, et al. Novel role for γ-catenin in the regulation of cancer cell migration via the induction of hepatocyte growth factor activator inhibitor type 1 (HAI-1). Journal of Biological Chemistry. 2015 Jun 19;290(25): 15610–20.
Hoffman O, Burns N, Vadász I, Eltzschig HK, Edwards MG, Vohwinkel CU (2017) Detrimental ELAVL-1/HuR-dependent GSK3β mRNA stabilization impairs resolution in acute respiratory distress syndrome. PLoS ONE 12(2): e0172116. pmid:28196122
For all business or lecture requests, you can contact me, Dr. Michael Edwards from Bioinfo Solutions, at this email address: michael.edwards@bioinfosolutions.com.
This video is part 4 of a guest lecture on bioinformatics given to bioengineering graduate students in the Analytic Methods for Engineering Analysis class on Sept.17, 2015. Part 4 of the lecture gives a demonstration on how we can use correlation and different datasets to find connected genes. In this example, I use two different lung cancer cell line gene expression datasets to find common genes correlated to Junction Plakoglobin (JUP).
Human plakoglobin is 81.7 kDa in molecular weight and 745 amino acids long. The JUP gene contains 13 exons spanning 17 kb on chromosome 17q21. Plakoglobin is a member of the catenin family, since it contains a distinct repeating amino acid motif called the armadillo repeat. Plakoglobin is highly homologous to β-catenin; both have 12 armadillo repeats as well as N-terminal and C-terminal globular domains of unknown structure. Plakoglobin was originally identified as a component of desmosomes, where it can bind to the cadherin family member desmoglein I. Plakoglobin also associates with classical cadherins such as E-cadherin; in that context, it was called gamma-catenin. Plakoglobin forms distinct complexes with cadherins and desmosomal cadherins.