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Signal Peptides

Signal peptides are short peptide sequences that target proteins for secretion or translocation across membranes.
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.
PubCompare.ai's AI-driven platform can help optimize your signal peptide research by providing intelligent comparisons of protocols, products, and findings from the latest literature, preprints, and patents.
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Most cited protocols related to «Signal Peptides»

The SWISS-MODEL Repository (39 (link)) (SMR, https://swissmodel.expasy.org/repository) is a database of automatically generated homology models for relevant model organisms and experimental structure information for all sequences in UniProtKB (34 (link)). Whenever a UniProtKB sequence is submitted to SWISS-MODEL, the generated model is automatically deposited into the SMR along with all data used to generate the model. Currently, the SMR contains 1 067 355 models from SWISS-MODEL and 129 416 structures from PDB with mapping to UniProtKB.
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)).
Publication 2018
Immunoglobulins Proteins Signal Peptides
A GFP gene was flanked by BsaI restriction sites using PCR amplification of a GFP coding sequence using primers bsgfp3 (ttt ggtctc a aggt atggtgagcaagggcgaggag) and bsgfp2 (ttt ggtctc a aagc ttacttgtacagctcgtcc). The PCR fragment was cloned in pGEM-T (Promega), resulting in construct pE-GFP. The LacZ cassette and the flanking BsaI sites present in pX-lacZ was obtained by PCR amplification from pUC19 DNA using primers laczins3 (tttcgtctctgtcg aggt a gagacc gaattcgcagctggcacgacaggtttc) and laczins6 (tttcgtctcttacc aagc t gagacc acggttgtgggtcacagcttgtctgtaagcg). The plasmid backbone of pX-lacZ contains a kanamycin resistance gene (derived from pBIN19) for selection in E.coli and Agrobacterium and does not contain any BsaI restriction site other than the two sites flanking the LacZ fragment. Other elements of the constructs (attB site, viral sequences) are as described in [2] (link). The GFP sequences in plasmids pE-GFP3 and pE-GFP2 were obtained by PCR amplification using primers pairs calgef3/bsgfp5 (ggtctc a tatggtgagcaagggcgaggag/ggtctc a cttgtacagctcgtccatgccg) and bsgfp3 (ttt ggtctc a aggt atggtgagcaagggcgaggag)/bsgfp5 and cloned in pUC19 digested with SmaI. pE-S was obtained by PCR amplification of a Nicotiana plumbaginifolia apoplast signal peptide from cloned sequences using primers calgef1 (ggtctc a aggtatggctactcaacgaagggc) and calgef2 (ggtctc a catacctgagacgacagcgacgag) and cloned in pUC19 digested with SmaI. pE-H was made by cloning an adapter (ggtct cacaa gggca gcagc cacca ccacc accac cacta agctt tgaga cc) into the SmaI site of pUC19.
Plasmid pECV was made by first amplifying a LacZ fragment by PCR from pUC19 using primers ecv1 (ttt gaagacttgtcgggtctcaaggtgcagctggcacgacaggtttc) and ecv2 (ttt gaagactttaccggtctcaaagccgcgcgtttcggtgatgac). The primers introduce the BsaI restriction site flanking the LacZ gene. This fragment is cloned using BpiI into a vector backbone fragment amplified from pUC19spec (pUC19spec is identical to pUC19 except that the bla gene was replaced by a spectinomycin resistance gene, this backbone was chosen because it does not contain an internal BsaI restriction site) using primers bpi191 (tttt cgacaagtcttcattaatgaatcggccaacgcgc) and bpi192 (tttt ggtaaagtcttccgggagctgcatgtgtcag).
Publication 2008
Agrobacterium Cloning Vectors Escherichia coli Genes HMN (Hereditary Motor Neuropathy) Proximal Type I Kanamycin Resistance LacZ Genes Nicotiana Oligonucleotide Primers Open Reading Frames Plasmids Promega prostaglandin M Signal Peptides Spectinomycin Vertebral Column
The mammalian cell codon-optimized nucleotide sequence coding for the spike protein of the SARS-CoV-2 isolate (GenBank:MN908947.3) was synthesized commercially (Genewiz). The RBD (amino acids 319–541; RVQP…CVNF), along with the signal peptide (amino acids 1–14; MFVF…VSSQ) plus a hexahistidine tag, was cloned into mammalian expression vector pCAGGS as well as in a modified pFastBac Dual vector for baculovirus system expression. The soluble version of the spike protein (amino acids 1–1,213; MFVF…IKWP), including a C-terminal thrombin cleavage site, T4 foldon trimerization domain and hexahistidine tag, was also cloned into pCAGGS. The protein sequence was modified to remove the polybasic cleavage site (RRAR to A), and two stabilizing mutations were introduced as well (K986P and V987P; wild-type numbering). Recombinant proteins were produced using the well-established baculovirus expression system and this system has been published in detail in refs.20 (link)–22 , including a video guide. Recombinant proteins were also produced in Expi293F cells (Thermo Fisher Scientific) by transfections of these cells with purified DNA using an ExpiFectamine 293 Transfection Kit (Thermo Fisher Scientific). Supernatants from transfected cells were harvested on day 3 post-transfection by centrifugation of the culture at 4,000g for 20 min. Supernatant was then incubated with 6 ml Ni-NTA Agarose (Qiagen) for 1–2 h at room temperature. Next, gravity flow columns were used to collect the Ni-NTA agarose and the protein was eluted. Each protein was concentrated in Amicon centrifugal units (EMD Millipore) and re-suspended in phosphate-buffered saline (PBS). Proteins were analyzed by reducing SDS-PAGE. The DNA sequence for all constructs is available from the Krammer Laboratory and has also been deposited in GenBank (additional information in the ‘Data availability’ statement). Several of the expression plasmids and proteins have also been submitted to the BEI Resources repository and can be requested from their web page for free (https://www.beiresources.org/. S1 proteins of NL63 and 229E were obtained from Sino Biological (produced in hexahistidine-tagged 293HEK cells). A detailed protocol for protein expression of RBD and spike in mammalian cells is also available7 (link).
Publication 2020
Amino Acids Amino Acid Sequence Baculoviridae Biopharmaceuticals Cells Centrifugation Cloning Vectors Codon Cytokinesis DNA Sequence Gravity His-His-His-His-His-His isononanoyl oxybenzene sulfonate Mammals M protein, multiple myeloma Mutation Open Reading Frames Phosphates Plasmids Proteins Recombinant Proteins Saline Solution SARS-CoV-2 SDS-PAGE Sepharose Signal Peptides Staphylococcal Protein A Thrombin Transfection
Ideally, our positive data set should consist of a large number of proteins secreted via non-classical pathways. Unfortunately, it was not possible to obtain a sufficiently large data set as only a small number of proteins undergoing non-classical secretion are known. Since we are looking for features shared among extracellular proteins, the mechanism by which a protein is secreted should not be important. We therefore used for training the large number of proteins known to be secreted via the classical Sec-dependent secretion mediated mechanism. All sequence data was extracted from Swiss-Prot release 44.0. Two individual training sets were created for Firmicutes and Proteobacteria, respectively.
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 1).
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:NC_000913] for E. coli and [Genbank:NC_000964] for B. subtilis.
Publication 2005
Actinomycetes Cytoplasm Escherichia coli Firmicutes Gram-Positive Bacteria Proteins Proteobacteria Proteome secretion SET protein, human Signal Peptides Staphylococcal Protein A
To benchmark the new version of TOPCONS, we used four different data sets, namely TM-proteins only (‘TM-set’), TM-proteins that also have a cleavable signal peptide in their N-terminal (‘SP+TM-set’), globular proteins (‘Globular-set’) and secreted proteins that only have a signal peptide and no membrane regions (‘Globular+SP-set’). The TM proteins were initially retrieved from the PDBTM database (32 (link)) and mapped to their respective UniProt (33 (link)) sequences using the SIFTS (34 (link)) database. For topology assignment, we combined different sources (PDBTM, OPM (35 (link)), TOPDB (36 (link)) and UniProt), along with manual inspection in some spurious cases. The other three data sets originated from the TOPDB database and the SignalP4 method. In order to have a fair evaluation, we performed a 30% homology reduction using BLASTclust (37 (link)) on all proteins together and were left with 313 proteins in the ‘TM-set’, 752 in the ‘SP+TM’, 3597 in the ‘Globular’ and 2194 in the ‘Globular+SP’ set. In this way, a more representative view of a proteome can be studied. All annotated data sets are available for download from the website.
Publication 2015
Proteins Proteome Signal Peptides Tissue, Membrane

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 FIG. 6 for the SLPs, TbpB (FIG. 6A), LbpB. (FIG. 6B) and fHbp (FIG. 6C) demonstrate that SLAM effects translocation of all three SLP polypeptides in E. coli. The results shown in FIG. 10 demonstrate that translocation of TbpB from M. catarrhalis (FIG. 10C) and in H. influenzae (FIG. 10D) in E. coli require the co-expression of the required SLAM protein (Slam is an outer membrane protein that is required for the surface display of lipidated virulence factors in Neisseria. Hooda Y, Lai C C, Judd A, Buckwalter C M, Shin H E, Gray-Owen S D, Moraes T F. Nat Microbiol. 2016 Feb. 29; 1:16009).

Patent 2024
ADRB2 protein, human Agar Ampicillin anti-IgG Cells Centrifugation Cloning Vectors Culture Media Escherichia coli Fluorescence Formaldehyde Genes Genome Haemophilus influenzae Homo sapiens Kanamycin Lipoproteins Membrane Proteins Moraxella catarrhalis Mus Mutagenesis, Site-Directed Mutation Neisseria Neisseria meningitidis Phycoerythrin Plasmids Polypeptides Polystyrenes prisma Rabbits Serum Signaling Lymphocytic Activation Molecule Family Member 1 Signal Peptides Strains Streptavidin Technique, Dilution Transferrin Translocation, Chromosomal Virulence Factors
Not available on PMC !

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:

(FIG. 1A)
MEGLRRGLSRWKRYHIKVHLADEALLLPLTVRPRDTLSDLRAQLVGQGVSS
WKRAFYYNARRLDDHQTVRDARLQDGSVLLLVSDPR.

In silico analysis of the amino acid sequence predicts a 3D structure resembling the protein UBIQUITIN (FIG. 1B). SEQ ID NO 1 micropeptide is coded by the lncRNA TINCR (LINC00036 in humans and Gm20219 in mice).

The micropeptide of SEQ ID NO: 2 is a 64-amino acid micropeptide whose sequence is:

(FIG. 2A)
MVRRKSMKKPRSVGEKKVEAKKQLPEQTVQKPRQECREAGPLFLQSRRETR
DPETRATYLCGEG.

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 (FIG. 2B). Further in-silico analysis has revealed high amino acidic sequence conservation across the species and a potential cytoplasmatic localization of the micropeptide of SEQ ID NO: 2.

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:

(FIG. 3A)
MAASAALSAAAAAAALSGLAVRLSRSAAARGSYGAFCKGLTRTLLTFFDLA
WRLRMNFPYFYIVASVMLNVRLQVRIE.

In silico analysis of this sequence predicted a tertiary structure (FIG. 3B) with a transmembrane domain at C-terminal of the protein and a signal peptide in the first 25 amino acids.

Patent 2024
Amino Acids Amino Acid Sequence Biological Evolution Cytoplasm Exons Homo sapiens Integral Membrane Proteins Mice, House Protein Domain Proteins RNA, Long Untranslated Sequence Analysis Sequence Analysis, Protein Signal Peptides Ubiquitin Zinc Finger E-box Binding Homeobox 2

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 FIG. 5. This demonstrates that transduction works.

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.

Patent 2024
CART protein, human Flow Cytometry Jurkat Cells Lentivirus Signal Peptides Signal Transduction T-Lymphocyte
The filtered 4 proteins from the previous step were uploaded to SignalP- 5.0 server (Almagro Armenteros et al., 2019 (link)) to predict the location of signal peptides. Following that, the mature polypeptides were analyzed for their T and B cell epitopes through the Immune Epitope Database (IEDB) (Dhanda et al., 2019 (link)). Firstly, we mapped CTLs for the protein candidates using the HLA allele reference set, which provided more than 97% in terms of population coverage (Weiskopf et al., 2013 (link)), and the NetMHCpan EL 4.1 prediction tool (that was recommended by the IEDB database). Secondly, we mapped for HTLs against the HLA reference set to cover more than 99% in terms of population coverage (Greenbaum et al., 2011 (link)) and used IEDB recommended 2.22 as a prediction method. Furthermore, HTL peptides were assessed for their ability to induce several cytokines such as IFN-gamma (Dhanda et al., 2013b (link)), IL-4 (Dhanda et al., 2013a (link)), IL-10 (Nagpal et al., 2017 (link)), IL-6, and IL-13 (Jain et al., 2022 (link)). The last analysis for HTLs and CTLs was the conservancy prediction where multiple sequence alignment against the corresponding proteins in other reference sequences was employed to validate the conservancy of the selected epitopes. The last set of epitopes; namely BCLs were finally estimated through IEBD using the BepiPred-2.0 prediction method (Jespersen et al., 2017 (link)). Following prediction, the estimated epitopes were filtered based on the consideration of several characteristics such as the number of reacting alleles (to achieve a high population coverage percentage), conservancy percentage, and antigenicity score.
Publication 2023
Alleles Amino Acid Sequence Antigens Cytokine Cytotoxic T-Lymphocytes Epitopes Epitopes, B-Lymphocyte Gamma Rays IL10 protein, human Interleukin-13 Peptides Polypeptides Proteins Signal Peptides
The CD-Search tool was used to search the NCBI Conserved Domain Database (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi) for conserved domains in BR1. The SignalP 5.0 server (https://services.healthtech.dtu.dk/service.php?SignalP-5.0) was used to identify predicted signal peptide sequences in BR1. The PROSITE database (https://prosite.expasy.org/) was used to predict motifs in BR1, while TF predictions were made with the Plant Transcription Factor Database (PlantTFDB v5.0, http://planttfdb.gao-lab.org/). Genotypic analyses of structural variations in the BR1 gene region were performed by comparing 524 B. rapa accessions with the Polymorph tool using the Brassicaceae Database (BRAD, http://brassicadb.cn/) as reported previously (Cai et al., 2021 (link)), with these 524 different B. rapa accessions being derived from a separate report (Cheng et al., 2016 (link); Su et al., 2018 (link); Cai et al., 2021 (link)). Ten orphan genes analyzed in this study were identified in our previous study (Jiang et al., 2018 (link)). The B. rapa genome version 3.0 was used for structural variation analyses.
Publication 2023
Brassicaceae Genes Genome Genotype Neutrophil Orphaned Children Plants Signal Peptides Transcription Factor

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The Bac-to-Bac system is a tool for generating recombinant baculoviruses, which are commonly used to express proteins in insect cell lines. The system provides a efficient way to generate recombinant baculoviruses by using site-specific transposition to insert a gene of interest into a baculovirus shuttle vector, which is then used to transfect insect cells and produce the recombinant virus.
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More about "Signal Peptides"

Signal peptides are short, N-terminal amino acid sequences that play a crucial role in protein targeting and secretion.
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.