Dataset Information

Development of a method for quantitative analysis of in vivo interactions of pluripotency transcription factors Sox2, Oct4, Nanog by mass spectrometry

ABSTRACT: Protein-protein proximity of core pluripotency transcription factors plays an important role during cell reprogramming. Pluripotent embryonic stem (ES) cell identity is controlled by a trio of transcription factors: Sox2, Oct4, and Nanog. These proteins often bind to closely localized genomic sites. The precise mode by which Sox2, Oct4, and Nanog interact with DNA is likely to make a crucial contribution to their function. Here, a detailed protocol for in vivo detection and quantitative analysis of protein-protein proximity of Sox2 and Oct4 using Proximity Utilizing Biotinylation (PUB) method based on the use of the BAP/BirA (target/enzyme) system is described. The method includes design and cloning of DNA plasmid construct, transient transfection of HEK293T cells, Western blot analysis of nuclei fraction and LC-MS/MS analysis. Experiments with coexpression of BAP-X+BirA-Y (X, Y=Sox2, Oct4 and GFP as control) revealed strong biotinylation level of target proteins when X and Y were pluripotency transcription factors compared with control when X=GFP. Since mass spectrometry provides both high sensitivity and more accurate quantification of data a modified workflow was used, in which SDS-PAGE step was eliminated and His-tagged BAP-fused proteins from cell lysate were purified in 6M guanidine HCl buffer, washed, propionylated, digested directly on the Ni sepharose beads using trypsin and analysed on Q-TOF Impact II instrument. Using mass spectrometry allows making quantitative estimation of in vivo interaction of BAP-Sox2 and BirA-Oct4 which was demonstrated by measuring ratios of biotinylation levels of BAP fused either with Sox2 or GFP at different biotin pulse times. After vector preparation this protocol can be completed in seven working days.

INSTRUMENT(S): maXis

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Early Embryonic Cell

DISEASE(S): Disease Free

SUBMITTER: Arman Kulyyassov

LAB HEAD: Arman Kulyyassov

PROVIDER: PXD015756 | Pride | 2020-01-21

REPOSITORIES: Pride

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Publications

PUB-MS: a mass spectrometry-based method to monitor protein-protein proximity in vivo.

Kulyyassov Arman A Shoaib Muhammad M Pichugin Andrei A Kannouche Patricia P Ramanculov Erlan E Lipinski Marc M Ogryzko Vasily V

Journal of proteome research 20110902 10

The common techniques to study protein-protein proximity in vivo are not well adapted to the capabilities and the expertise of a standard proteomics laboratory, typically based on the use of mass spectrometry. With the aim of closing this gap, we have developed PUB-MS (for proximity utilizing biotinylation and mass spectrometry), an approach to monitor protein-protein proximity, based on biotinylation of a protein fused to a biotin-acceptor peptide (BAP) by a biotin-ligase, BirA, fused to its in ...[more]

PMID: 21842862

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Project description:Chickarmane2006 - Stem cell switch reversible Kinetic modeling approach of the transcriptional dynamics of the embryonic stem cell switch. This model is described in the article: Transcriptional dynamics of the embryonic stem cell switch. Chickarmane V, Troein C, Nuber UA, Sauro HM, Peterson C PLoS Computational Biology. 2006; 2(9):e123 Abstract: Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In addition to regulating each other through feedback loops, these genes also regulate downstream target genes involved in the maintenance and differentiation of embryonic stem cells. A search for the OCT4-SOX2-NANOG network motif in other species reveals that it is unique to mammals. With a kinetic modeling approach, we ascribe function to the observed OCT4-SOX2-NANOG network by making plausible assumptions about the interactions between the transcription factors at the gene promoter binding sites and RNA polymerase (RNAP), at each of the three genes as well as at the target genes. We identify a bistable switch in the network, which arises due to several positive feedback loops, and is switched on/off by input environmental signals. The switch stabilizes the expression levels of the three genes, and through their regulatory roles on the downstream target genes, leads to a binary decision: when OCT4, SOX2, and NANOG are expressed and the switch is on, the self-renewal genes are on and the differentiation genes are off. The opposite holds when the switch is off. The model is extremely robust to parameter changes. In addition to providing a self-consistent picture of the transcriptional circuit, the model generates several predictions. Increasing the binding strength of NANOG to OCT4 and SOX2, or increasing its basal transcriptional rate, leads to an irreversible bistable switch: the switch remains on even when the activating signal is removed. Hence, the stem cell can be manipulated to be self-renewing without the requirement of input signals. We also suggest tests that could discriminate between a variety of feedforward regulation architectures of the target genes by OCT4, SOX2, and NANOG. This model is hosted on BioModels Database and identified by: MODEL7957907314 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Chickarmane2006 - Stem cell switch irreversible Kinetic modeling approach of the transcriptional dynamics of the embryonic stem cell switch. This model is described in the article: Transcriptional dynamics of the embryonic stem cell switch. Chickarmane V, Troein C, Nuber UA, Sauro HM, Peterson C PLoS Computational Biology. 2006; 2(9):e123 Abstract: Recent ChIP experiments of human and mouse embryonic stem cells have elucidated the architecture of the transcriptional regulatory circuitry responsible for cell determination, which involves the transcription factors OCT4, SOX2, and NANOG. In addition to regulating each other through feedback loops, these genes also regulate downstream target genes involved in the maintenance and differentiation of embryonic stem cells. A search for the OCT4-SOX2-NANOG network motif in other species reveals that it is unique to mammals. With a kinetic modeling approach, we ascribe function to the observed OCT4-SOX2-NANOG network by making plausible assumptions about the interactions between the transcription factors at the gene promoter binding sites and RNA polymerase (RNAP), at each of the three genes as well as at the target genes. We identify a bistable switch in the network, which arises due to several positive feedback loops, and is switched on/off by input environmental signals. The switch stabilizes the expression levels of the three genes, and through their regulatory roles on the downstream target genes, leads to a binary decision: when OCT4, SOX2, and NANOG are expressed and the switch is on, the self-renewal genes are on and the differentiation genes are off. The opposite holds when the switch is off. The model is extremely robust to parameter changes. In addition to providing a self-consistent picture of the transcriptional circuit, the model generates several predictions. Increasing the binding strength of NANOG to OCT4 and SOX2, or increasing its basal transcriptional rate, leads to an irreversible bistable switch: the switch remains on even when the activating signal is removed. Hence, the stem cell can be manipulated to be self-renewing without the requirement of input signals. We also suggest tests that could discriminate between a variety of feedforward regulation architectures of the target genes by OCT4, SOX2, and NANOG. This model is hosted on BioModels Database and identified by: MODEL7957942740 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Development of a method for quantitative analysis of in vivo interactions of pluripotency transcription factors Sox2, Oct4, Nanog by mass spectrometry

Publications

PUB-MS: a mass spectrometry-based method to monitor protein-protein proximity in vivo.

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