scholarly journals An expanded toolkit for gene tagging based on MiMIC and scarless CRISPR tagging in Drosophila

2018 ◽  
Author(s):  
David Li-Kroeger ◽  
Oguz Kanca ◽  
Pei-Tseng Lee ◽  
Sierra Cowan ◽  
Michael Lee ◽  
...  
Keyword(s):  
Protein Function ◽  
Null Allele ◽  
Protein Localization ◽  
Dominant Marker ◽  
Endogenous Gene ◽  
Gene Trapping ◽  
Cassette Exchange ◽  
Protein Tag ◽  
Integration Efficiency

AbstractWe generated new genetic tools to efficiently tag genes in Drosophila. Double Header (DH) utilizes intronic MiMIC/CRIMIC insertions to generate artificial exons for GFP mediated protein trapping or T2A-GAL4 gene trapping in vivo based on CRE recombinase to avoid embryo injections. DH significantly increases integration efficiency compared to previous strategies and faithfully reports the expression pattern of genes and proteins. The second technique targets genes lacking coding introns using a two-step cassette exchange. First, we replace the endogenous gene with an excisable compact dominant marker using CRISPR making a null allele. Second, the insertion is replaced with a protein::tag cassette.This sequential manipulation allows the generation of numerous tagged alleles or insertion of other DNA fragments that facilitates multiple downstream applications. Both techniques allow precise gene manipulation and facilitate detection of gene expression, protein localization and assessment of protein function, as well as numerous other applications.

scholarly journals An expanded toolkit for gene tagging based on MiMIC and scarless CRISPR tagging in Drosophila

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
David Li-Kroeger ◽  
Oguz Kanca ◽  
Pei-Tseng Lee ◽  
Sierra Cowan ◽  
Michael T Lee ◽  
...  
Keyword(s):  
Protein Function ◽  
Null Allele ◽  
Protein Localization ◽  
Dominant Marker ◽  
Endogenous Gene ◽  
Gene Trapping ◽  
Cassette Exchange ◽  
Protein Tag ◽  
Integration Efficiency

We generated two new genetic tools to efficiently tag genes in Drosophila. The first, Double Header (DH) utilizes intronic MiMIC/CRIMIC insertions to generate artificial exons for GFP mediated protein trapping or T2A-GAL4 gene trapping in vivo based on Cre recombinase to avoid embryo injections. DH significantly increases integration efficiency compared to previous strategies and faithfully reports the expression pattern of genes and proteins. The second technique targets genes lacking coding introns using a two-step cassette exchange. First, we replace the endogenous gene with an excisable compact dominant marker using CRISPR making a null allele. Second, the insertion is replaced with a protein::tag cassette. This sequential manipulation allows the generation of numerous tagged alleles or insertion of other DNA fragments that facilitates multiple downstream applications. Both techniques allow precise gene manipulation and facilitate detection of gene expression, protein localization and assessment of protein function, as well as numerous other applications.

scholarly journals mRNA compartmentalisation spatially orients tissue morphogenesis

2018 ◽  
Author(s):  
Guilherme Costa ◽  
Joshua Bradbury ◽  
Nawseen Tarannum ◽  
Shane P. Herbert
Keyword(s):  
Single Molecule ◽  
Protein Function ◽  
Spatial Diversity ◽  
Small Gtpase ◽  
Tissue Morphogenesis ◽  
Protein Activity ◽  
Endogenous Gene ◽  
Spatial Coupling ◽  
Single Molecule Analysis

ABSTRACTPolarised targeting of diverse mRNAs to motile cellular protrusions is a hallmark of cell migration1–3. Although a widespread phenomenon, definitive functions for endogenous targeted mRNAs and their relevance to modulation of in-vivo tissue dynamics remain elusive. Here, using single-molecule analysis, endogenous gene-edited mRNAs and zebrafish in-vivo live-cell imaging, we report that mRNA polarisation acts as a molecular compass that orients motile cell polarity and spatially directs tissue movement. Clustering of protrusion-derived RNAseq datasets defined a core 192 bp localisation element underpinning precise mRNA targeting to incipient sites of filopodia formation at cell protrusions. Such targeting of the small GTPase, RAB13, generated tight spatial coupling of mRNA localisation, translation and protein activity, achieving precise subcellular compartmentalisation of RAB13 protein function to create a polarised domain of filopodia extension. Consequently, genomic excision of this localisation element and specific perturbation of endogenous RAB13 targeting – but not translation – depolarised filopodial dynamics in motile endothelial cells and induced miss-patterning of nascent blood vessels in-vivo. Hence, mRNA polarisation, not expression, is the primary spatial determinant of the site of RAB13 action, preventing ectopic functionality at inappropriate subcellular loci and orienting tissue morphogenesis. Considering the unexpected spatial diversity of other polarised mRNA clusters we identified, mRNA-mediated compartmentalisation of protein function at distinct subcellular sites likely coordinates broad aspects of in-vivo tissue behaviour.

scholarly journals A nanobody-based toolset to investigate the role of protein localization and dispersal in Drosophila

2017 ◽  
Author(s):  
Stefan Harmansa ◽  
Ilaria Alborelli ◽  
Emmanuel Caussinus ◽  
Markus Affolter
Keyword(s):  
Protein Function ◽  
Imaginal Disc ◽  
Protein Localization ◽  
Wing Disc ◽  
Wing Imaginal Disc ◽  
System A ◽  
Polarized Cells ◽  
Lateral Plane

AbstractInvestigating the role of protein localization is crucial to understand protein function in cells or tissues. However, in many cases the role of different subcellular fractions of given proteins along the apical-basal axis of polarized cells has not been investigated in vivo, partially due to lack of suitable tools. Here, we present the GrabFP system, a nanobody-based toolbox to modify the localization and the dispersal of GFP-tagged proteins along the apical-basal axis of polarized cells. We show that the GrabFP system is an effective and easy-to-implement tool to mislocalize cytosolic and transmembrane GFP-tagged proteins and thereby functionally investigate protein localization along the apical-basal axis. We use the GrabFP system as a tool to study the extracellular dispersal of the Decapentaplegic (Dpp) protein and show that the Dpp gradient forming in the lateral plane of the Drosophila wing disc epithelium is essential for patterning of the wing imaginal disc.

scholarly journals PPM1G promotes the progression of hepatocellular carcinoma via phosphorylation regulation of alternative splicing protein SRSF3

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
Dawei Chen ◽  
Zhenguo Zhao ◽  
Lu Chen ◽  
Qinghua Li ◽  
Jixue Zou ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alternative Splicing ◽  
Protein Function ◽  
Vital Role ◽  
Normal Tissues ◽  
Mechanistic Analysis ◽  
Highly Correlated ◽  
Splicing Patterns

AbstractEmerging evidence has demonstrated that alternative splicing has a vital role in regulating protein function, but how alternative splicing factors can be regulated remains unclear. We showed that the PPM1G, a protein phosphatase, regulated the phosphorylation of SRSF3 in hepatocellular carcinoma (HCC) and contributed to the proliferation, invasion, and metastasis of HCC. PPM1G was highly expressed in HCC tissues compared to adjacent normal tissues, and higher levels of PPM1G were observed in adverse staged HCCs. The higher levels of PPM1G were highly correlated with poor prognosis, which was further validated in the TCGA cohort. The knockdown of PPM1G inhibited the cell growth and invasion of HCC cell lines. Further studies showed that the knockdown of PPM1G inhibited tumor growth in vivo. The mechanistic analysis showed that the PPM1G interacted with proteins related to alternative splicing, including SRSF3. Overexpression of PPM1G promoted the dephosphorylation of SRSF3 and changed the alternative splicing patterns of genes related to the cell cycle, the transcriptional regulation in HCC cells. In addition, we also demonstrated that the promoter of PPM1G was activated by multiple transcription factors and co-activators, including MYC/MAX and EP300, MED1, and ELF1. Our study highlighted the essential role of PPM1G in HCC and shed new light on unveiling the regulation of alternative splicing in malignant transformation.

scholarly journals Important Role for Phylogenetically Invariant PP2Acα Active Site and C-Terminal Residues Revealed by Mutational Analysis in Saccharomyces cerevisiae

Genetics ◽  
2000 ◽  
Vol 156 (1) ◽  
pp. 21-29 ◽  
Author(s):  
David R H Evans ◽  
Brian A Hemmings
Keyword(s):  
Protein Interactions ◽  
Active Site ◽  
Protein Function ◽  
Mutational Analysis ◽  
Yeast Cells ◽  
Temperature Sensitive ◽  
Active Site Residues ◽  
Catalytic Function

Abstract PP2A is a central regulator of eukaryotic signal transduction. The human catalytic subunit PP2Acα functionally replaces the endogenous yeast enzyme, Pph22p, indicating a conservation of function in vivo. Therefore, yeast cells were employed to explore the role of invariant PP2Ac residues. The PP2Acα Y127N substitution abolished essential PP2Ac function in vivo and impaired catalysis severely in vitro, consistent with the prediction from structural studies that Tyr-127 mediates substrate binding and its side chain interacts with the key active site residues His-118 and Asp-88. The V159E substitution similarly impaired PP2Acα catalysis profoundly and may cause global disruption of the active site. Two conditional mutations in the yeast Pph22p protein, F232S and P240H, were found to cause temperature-sensitive impairment of PP2Ac catalytic function in vitro. Thus, the mitotic and cell lysis defects conferred by these mutations result from a loss of PP2Ac enzyme activity. Substitution of the PP2Acα C-terminal Tyr-307 residue by phenylalanine impaired protein function, whereas the Y307D and T304D substitutions abolished essential function in vivo. Nevertheless, Y307D did not reduce PP2Acα catalytic activity significantly in vitro, consistent with an important role for the C terminus in mediating essential protein-protein interactions. Our results identify key residues important for PP2Ac function and characterize new reagents for the study of PP2A in vivo.

scholarly journals A study of deregulated MMR pathways and anticancer potential of curcuma derivatives using computational approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Priyanjali Bhattacharya ◽  
Trupti N. Patel
Keyword(s):  
Mismatch Repair ◽  
Protein Function ◽  
Curcuma Longa ◽  
Signaling Cascades ◽  
Altered Expression ◽  
Anticancer Properties ◽  
Medicinal Properties ◽  
Multiple Signaling

AbstractPlant derived products have steadily gained momentum in treatment of cancer over the past decades. Curcuma and its derivatives, in particular, have diverse medicinal properties including anticancer potential with proven safety as supported by numerous in vivo and in vitro studies. A defective Mis-Match Repair (MMR) is implicated in solid tumors but its role in haematologic malignancies is not keenly studied and the current literature suggests that it is limited. Nonetheless, there are multiple pathways interjecting the mismatch repair proteins in haematologic cancers that may have a direct or indirect implication in progression of the disease. Here, through computational analysis, we target proteins that are involved in rewiring of multiple signaling cascades via altered expression in cancer using various curcuma derivatives (Curcuma longa L. and Curcuma caesia Roxb.) which in turn, profoundly controls MMR protein function. These biomolecules were screened to identify their efficacy on selected targets (in blood-related cancers); aberrations of which adversely impacted mismatch repair machinery. The study revealed that of the 536 compounds screened, six of them may have the potential to regulate the expression of identified targets and thus revive the MMR function preventing genomic instability. These results reveal that there may be potential plant derived biomolecules that may have anticancer properties against the tumors driven by deregulated MMR-pathways.

scholarly journals Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns

Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 264
Author(s):  
Kaisa Liimatainen ◽  
Riku Huttunen ◽  
Leena Latonen ◽  
Pekka Ruusuvuori
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Convolutional Neural Network ◽  
High Throughput ◽  
Protein Function ◽  
Protein Localization ◽  
Convolutional Network ◽  
High Throughput Analysis ◽  
Fully Convolutional Network

Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to assess protein localizations, with increasing demand of automated high throughput analysis methods to supplement the technical advancements in high throughput imaging. Here, we study the applicability of deep neural network-based artificial intelligence in classification of protein localization in 13 cellular subcompartments. We use deep learning-based on convolutional neural network and fully convolutional network with similar architectures for the classification task, aiming at achieving accurate classification, but importantly, also comparison of the networks. Our results show that both types of convolutional neural networks perform well in protein localization classification tasks for major cellular organelles. Yet, in this study, the fully convolutional network outperforms the convolutional neural network in classification of images with multiple simultaneous protein localizations. We find that the fully convolutional network, using output visualizing the identified localizations, is a very useful tool for systematic protein localization assessment.

scholarly journals Peptide-tags for site-specific protein labelling in vitro and in vivo

2016 ◽  
Vol 12 (6) ◽  
pp. 1731-1745 ◽  
Author(s):  
Jonathan Lotze ◽  
Ulrike Reinhardt ◽  
Oliver Seitz ◽  
Annette G. Beck-Sickinger
Keyword(s):  
Metal Ions ◽  
Small Molecules ◽  
Protein Localization ◽  
Specific Protein ◽  
Site Specific ◽  
Protein Labelling ◽  
Peptide Interactions ◽  
Peptide Tags

Peptide-tag based labelling can be achieved by (i) enzymes (ii) recognition of metal ions or small molecules and (iii) peptide–peptide interactions and enables site-specific protein visualization to investigate protein localization and trafficking.

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