To facilitate exploration of available information on a given target protein, SWISS-MODEL provides cross-links to various other resources and databases. We include links to the RCSB (33 (link)), PDBsum (40 (link)), PDBe (41 (link)), CATH (42 (link)) and SwissDock (43 (link)). In addition, we also provide direct access to a specialised server for antibody modelling. The pre-screening of the target sequence has been extended in order to automatically identify whether an immunoglobulin sequence is present in the input. If a matching sequence signal is detected, data can be sent to the Prediction of Immunoglobulin Structure server PIGSPro (44–46 (link)) where the model of the antibody is generated according to the canonical structure method (47–49 (link)).
Signal Peptides
They are found at the N-terminus of proteins and are cleaved off during the translocation process.
Research on signal peptides is crucial for understanding protein trafficking and secretion, which has implications in areas such as biotherapeutics and diagnostics.
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Most cited protocols related to «Signal Peptides»
To facilitate exploration of available information on a given target protein, SWISS-MODEL provides cross-links to various other resources and databases. We include links to the RCSB (33 (link)), PDBsum (40 (link)), PDBe (41 (link)), CATH (42 (link)) and SwissDock (43 (link)). In addition, we also provide direct access to a specialised server for antibody modelling. The pre-screening of the target sequence has been extended in order to automatically identify whether an immunoglobulin sequence is present in the input. If a matching sequence signal is detected, data can be sent to the Prediction of Immunoglobulin Structure server PIGSPro (44–46 (link)) where the model of the antibody is generated according to the canonical structure method (47–49 (link)).
Plasmid pECV was made by first amplifying a LacZ fragment by PCR from pUC19 using primers ecv1 (
A set of 690 extracellular proteins from Firmicutes (Gram-positive) and a set of 2185 extracellular proteins from Proteobacteria (Gram-negative) were extracted from the Swiss-Prot database based on annotations in the feature table (FT) and comments line (CC) [52 (link)]. Partial sequences were excluded from the data set. As we wanted to train a predictor that works in the absence of signal peptides, the signal peptide part of each sequence was removed according to the Swiss-Prot annotation. These lists of secreted proteins formed our positive data sets. Negative training sets were constructed by extracting 1084 proteins for Firmicutes and 2098 proteins for Proteobacteria from Swiss-Prot, which were annotated as localised to the cytoplasm. After redundancy reduction of the data sets based on a structural similarity criteria [53 (link)], 152 and 350 extracellular sequences were left in the positive data sets for Firmicutes and Proteobacteria, respectively. In the negative data sets, 140 and 334 sequences remained for Firmicutes and Proteobacteria, respectively. For Gram-positive bacteria (Firmicutes and Actinobacteria) a set of non-classically secreted proteins was retrieved from Swiss-Prot based on literature searches (see Table
All data sets used are available as supplementary information from our website [37 ].
For identification of putative non-classically secreted proteins in E. coli and B. subtilis, we used the following accession numbers to extract the annotated and translated proteomes: [Genbank:
Most recents protocols related to «Signal Peptides»
Example 6
TbpB and NMB0313 genes were amplified from the genome of Neisseria meningitidis serotype B strain B16B6. The LbpB gene was amplified from Neisseria meningitidis serotype B strain MC58. Full length TbpB was inserted into Multiple Cloning Site 2 of pETDuet using restriction free cloning ((F van den Ent, J. Löwe, Journal of Biochemical and Biophysical Methods (Jan. 1, 2006)).). NMB0313 was inserted into pET26, where the native signal peptide was replaced by that of pelB. Mutations and truncations were performed on these vectors using site directed mutagenesis and restriction free cloning, respectively. Pairs of vectors were transformed into E. coli C43 and were grown overnight in LB agar plates supplemented with kanamycin (50 μg/mL) and ampicillin (100 μg/mL).
tbpB genes were amplified from the genomes of M. catarrhalis strain 035E and H. influenzae strain 86-028NP and cloned into the pET52b plasmid by restriction free cloning as above. The corresponding SLAMs (M. catarrhalis SLAM 1, H. influenzae SLAM1) were inserted into pET26b also using restriction free cloning. A 6His-tag was inserted between the pelB and the mature SLAM sequences as above. Vectors were transformed into E. coli C43 as above.
Cells were harvested by centrifugation at 4000 g and were twice washed with 1 mL PBS to remove any remaining growth media. Cells were then incubated with either 0.05-0.1 mg/mL biotinylated human transferrin (Sigma-aldrich T3915-5 MG), α-TbpB (1:200 dilution from rabbit serum for M. catarrhalis and H. influenzae; 1:10000 dilution from rabbit serum for N. meningitidis), or α-LbpB (1:10000 dilution from rabbit serum-obtained a gift from J. Lemieux) or α-fHbp (1:5000 dilution from mouse, a gift from D. Granoff) for 1.5 hours at 4° C., followed by two washes with 1 mL of PBS. The cells were then incubated with R-Phycoerythrin-conjugated Streptavidin (0.5 mg/ml Cedarlane) or R-phycoerythrin conjugated Anti-rabbit IgG (Stock 0.5 mg/ml Rockland) at 25 ug/mL for 1.5 hours at 4° C. The cells were then washed with 1 mL PBS and resuspended in 200 uL fixing solution (PBS+2% formaldehyde) and left for 20 minutes. Finally, cells were washed with 2×1 mL PBS and transferred to 5 mL polystyrene FACS tubes. The PE fluorescence of each sample was measured for PE fluorescence using a Becton Dickinson FACSCalibur. The results were analyzed using FLOWJO software and were presented as mean fluorescence intensity (MFI) for each sample. For N. meningtidis experiments, all samples were compared to wildtype strains by normalizing wildtype fluorescent signals to 100%. Errors bars represent the standard error of the mean (SEM) across three experiments. Results were plotted statistically analysed using GraphPad Prism 5 software. The results shown in
Example 1
The authors of the invention have identified 3 micropeptides corresponding to sequences SEQ ID NO: 1, 2 and 3.
The micropeptide of SEQ ID NO 1 is a highly conserved 87 aa micropeptide whose sequence is:
In silico analysis of the amino acid sequence predicts a 3D structure resembling the protein UBIQUITIN (
The micropeptide of SEQ ID NO: 2 is a 64-amino acid micropeptide whose sequence is:
It is encoded by ZEB2 antisense 1 (ZEB2AS1) long non-coding RNA (lncRNA). ZEB2AS1 is a natural antisense transcript corresponding to the 5′ untranslated region (UTR) of zinc finger E-box binding homeobox 2 (ZEB2). The ORF encoding the micropeptide spams part of the second and third exons of the lncRNA. I-Tasser, a 3D protein structure predictor, has been used in order to build a model of SEQ ID NO: 2 micropeptide 3D structure (
The micropeptide of SEQ ID NO: 3 is a 78-amino acid micropeptide encoded by the first exon of LINC0086 lncRNA. Its sequence, highly conserved across evolution is:
In silico analysis of this sequence predicted a tertiary structure (
Example 3
Cells transduced with Lenti-GFP as explained above were analysed on a Sony SH800Z flow cytometer with 488 laser. Signal from GFP transduced cells was compared with untransduced cells. The results are shown in
Constructs expressing irrelevant VH with a HIS tag were shown by flow cytometry to have surface expression on Jurkat cells using anti-His detection agents. This shows that the leader sequence directs the CART to the surface of the cell as expected.
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More about "Signal Peptides"
These peptide signals are responsible for directing newly synthesized proteins to the appropriate cellular compartments, such as the endoplasmic reticulum (ER) or the plasma membrane, for translocation across lipid bilayers.
The study of signal peptides is essential for understanding the complex mechanisms of protein trafficking and secretion, which has far-reaching implications in various fields, including biotherapeutics and diagnostics.
Researchers often utilize tools like the GeneArt gene synthesis service, Lipofectamine 2000 transfection reagent, and the pcDNA3.1 expression vector to explore the functional aspects of signal peptides and their impact on protein expression and localization.
In the field of recombinant protein production, signal peptides are commonly employed in systems like the Bac-to-Bac baculovirus expression system and the Expi293F cell line to facilitate the secretion of heterologous proteins.
The PFastBac1 vector and the In-Fusion HD Cloning Kit are among the popular tools used in these systems to engineer and optimize signal peptide-mediated protein secretion.
Downstream processing of recombinant proteins often involves the use of chromatographic techniques, such as size-exclusion chromatography on a Superdex 200 column, to purify the desired proteins while preserving their structural integrity and biological activity.
Whether you're studying the fundamental aspects of signal peptides or engineering them for practical applications, PubCompare.ai's AI-driven platform can provide you with valuable insights and intelligent comparisons of the latest protocols, products, and research findings from the literature, preprints, and patents.
Leverage this powerful tool to streamline your workflow and accelerate your discoveries in this important field of study.