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Codon, Initiator

The codon, initiator is a specific sequence of three consecutive nucleotides in messenger RNA (mRNA) that signals the start of protein translation.
This codon, commonly AUG (adenine-uracil-guanine), binds to the initiator transfer RNA (tRNA) and recruits the small ribosomal subunit to begin the process of protein synthesis.
The initiator codon plays a crucial role in ensuring the accurate translation of genetic information into functional proteins, making it an important element in molecular biology and biochemistry research.

Most cited protocols related to «Codon, Initiator»

To assess a transcript's coding potential, we extract six features from the transcript's nucleotide sequence. A true protein-coding transcript is more likely to have a long and high-quality Open Reading Frame (ORF) compared with a non-coding transcript. Thus, our first three features assess the extent and quality of the ORF in a transcript. We use the framefinder software (14 ) to identify the longest reading frame in the three forward frames. Known for its error tolerance, framefinder can identify most correct ORFs even when the input transcripts contain sequencing errors such as point mutations, indels and truncations (14 ,15 (link)). We extract the LOG-ODDS SCORE and the COVERAGE OF THE PREDICTED ORF as the first two features by parsing the framefinder raw output with Perl scripts (available for download from the web site). The LOG-ODDS SCORE is an indicator of the quality of a predicted ORF and the higher the score, the higher the quality. A large COVERAGE OF THE PREDICTED ORF is also an indicator of good ORF quality (14 ). We add a third binary feature, the INTEGRITY OF THE PREDICTED ORF, that indicates whether an ORF begins with a start codon and ends with an in-frame stop codon.
The large and rapidly growing protein sequence databases provide a wealth of information for the identification of protein-coding transcript. We derive another three features from parsing the output of BLASTX (16 (link)) search (using the transcript as query, E-value cutoff 1e-10) against UniProt Reference Clusters (UniRef90) which was developed as a nonredundant protein database with a 90% sequence identity threshold (17 (link)). First, a true protein-coding transcript is likely to have more hits with known proteins than a non-coding transcript does. Thus we extract the NUMBER OF HITS as a feature. Second, for a true protein-coding transcript the hits are also likely to have higher quality; i.e. the HSPs (High-scoring Segment Pairs) overall tend to have lower E-value. Thus we define feature HIT SCORE as follows:

where Eij is the E-value of the j-th HSP in frame i, Si measures the average quality of the HSPs in frame i and HIT SCORE is the average of Si across three frames. The higher the HIT SCORE, the better the overall quality of the hits and the more likely the transcript is protein-coding. Thirdly, for a true protein-coding transcript most of the hits are likely to reside within one frame, whereas for a true non-coding transcript, even if it matches certain known protein sequence segments by chance, these chance hits are likely to scatter in any of the three frames. Thus, we define feature FRAME SCORE to measure the distribution of the HSPs among three reading frames:

The higher the FRAME SCORE, the more concentrated the hits are and the more likely the transcript is protein-coding.
We incorporate these six features into a support vector machine (SVM) machine learning classifier (18 ). Mapping the input features onto a high-dimensional feature space via a proper kernel function, SVM constructs a classification hyper-plane (maximum margin hyper-plane) to separate the transformed data (18 ). Known for its high accuracy and good performance, SVM is a widely used classification tool in bioinformatics analysis such as microarray-based cancer classification (19 (link),20 (link)), prediction of protein function (21 (link),22 (link)) and prediction of subcellular localization (23 (link),24 (link)). We employed the LIBSVM package (25 ) to train a SVM model using the standard radial basis function kernel (RBF kernel). The C and gamma parameters were determined by grid-search in the training dataset. We trained the SVM model using the same training data set as CONC used (13 (link)), containing 5610 protein-coding cDNAs and 2670 noncoding RNAs.
Publication 2007
Amino Acid Sequence Base Sequence Codon, Initiator Codon, Terminator DNA, Complementary Gamma Rays Immune Tolerance INDEL Mutation Malignant Neoplasms Microarray Analysis Point Mutation Proteins Reading Frames RNA, Untranslated Staphylococcal Protein A
Structural rRNAs (5S, 16S and 23S) are highly conserved in closely related prokaryotic species. The NCBI RefSeq Targeted Loci collection (22 (link)) contains curated sets of the three types of rRNA gene sequences, which serve as reference sets for PGAP (https://ncbi.nlm.nih.gov/RefSeq/targetedloci/). To identify genes for 16S and 23S rRNAs PGAP uses members of the reference sets as queries in BLASTn (23 (link)). Hits that correspond to partial alignments are dropped if they fall below a certain coverage and identity thresholds with respect to the average length of the corresponding rRNA (50% coverage and 70% identity for 16S rRNA; 50% coverage and 60% identity for 23S rRNA). Borders of predicted rRNA genes are defined by a voting mechanism similar to the one mentioned below for identifying gene starts among several alternative start codons.
For prediction of 5S rRNAs and small ncRNAs, PGAP uses cmsearch (ver. 1.1.1) along with covariance models, score thresholds and recommended command line options from the Rfam database (release 12.0 (7 (link))). Current execution of this cmsearch version has been optimized to permit direct use of the tool without a preliminary BLASTn search (5 (link)–7 (link)).
For prediction of tRNA sequences, PGAP relies on tRNAscan-SE. The input genomic sequence is split into overlapping fragments long enough to cover a tRNA gene with possible introns. These fragments are used as inputs to tRNAscan-SE (8 (link)), currently one of the most widely used tRNA gene identification tools. Domain specific parameters of tRNAscan-SE are selected automatically for each genome (8 (link)).
All predicted RNA genes from the above steps are collected and presented to GeneMarkS+ as a set of RNA gene ‘footprints’ (Figure 2). GeneMarkS+ has several labels (‘M’, ‘N’ and ‘R’) for RNA gene footprints; the labels specify different types of possible overlaps between protein-coding genes and RNA genes.
Publication 2016
Codon, Initiator Gene Products, Protein Genes Genes, vif Genes, vpr Genome Introns Prokaryotic Cells Ribosomal RNA Ribosomal RNA Genes RNA, Ribosomal, 5S RNA, Ribosomal, 16S RNA, Ribosomal, 23S RNA, Small Untranslated Transfer RNA
The following criteria were used for admission of gene containing sequences to the test sets: (i) a gene should possess ATG start codon and canonical acceptor/donor sites; (ii) intron/exon structure should be supported by EST/cDNA alignment (12 (link)); (iii) no alternative isoforms supported by EST/cDNA should be mentioned in annotation; and (iv) a gene should not overlap with any other annotated gene. Sequences containing multiple genes are preferable for the accuracy assessment (30 (link)). To include into the test set a region of genomic DNA with multiple validated genes situated adjacent to each other, we have tested annotated intergenic regions for genes missed in annotation by searching against databases of EST/cDNA sequences (12 (link)). However, even with these precautions we could not guarantee that no gene remained in intergenic regions of the test sequences that contained three or more adjacent validated genes. For A.gambiae, C.elegans, C.intestinalis, C.reinhardtii and T.gondii the above stated rules of admission to a test set did not produce many records with multiple genes. Therefore, these test sets contained mostly one validated gene per sequence. The sizes (in terms of number of genes) of the test sets are as follows: A.gambiae—144, A.thaliana—1026, C.elegans—183, C.intestinalis—314, C.reinhardtii—43, D.melanogaster—361 and T.gondii—65.
Publication 2005
A 144 Arabidopsis thalianas Caenorhabditis elegans Codon, Initiator DNA, A-Form DNA, Complementary Exons Genes Genome Intergenic Region Introns Multiple Birth Offspring Protein Isoforms Tissue Donors
RATT is programmed in ‘bash’ and ‘PERL’ and its design is illustrated in Figure 1 and Supplementary Figure S1. First, two sequences are compared using ‘nucmer’ from the MUMmer package (17 (link)) to define sequence regions that share synteny. Those regions are filtered using configurable parameters depending on the type of annotation mapping that is being attempted. Preset parameters are provided for transfers between assembly versions, strains or species (see Supplementary Table S1). To be included, the minimum nucleotide sequence identity between synteny blocks must be 40%. Synteny information is stored as a base range in the query and its associated base range in the reference. However, this information alone is inadequate to map the annotation because insertions or deletions (indels) change the relative distance between mapped synteny blocks. The coordinates are therefore sequentially adjusted across a synteny block by calling indels using ‘show-snp’ from the MUMmer package. Accurately calling indels within repetitive regions presents a particular challenge. Therefore, RATT recalibrates the adjusted coordinates using single nucleotide polymorphisms (SNPs, also called using ‘show-snp’) as unambiguous anchor points within synteny blocks. In transfers between very closely related sequences (e.g. successive assembly versions), SNPs may occur with insufficient frequency to perform this coordinate adjustment. In such cases, RATT modifies the query by inserting a faux SNP every 300 bp to aid in the recalibrating step. The final sequence and transferred annotations remain unaffected.

Workflow of RATT.

Once the coordinates within synteny blocks have been defined, RATT proceeds to the annotation-mapping step, whereby each feature within a reference EMBL file is associated with new coordinates on the query (Supplementary Figure S1B). A feature is not mapped (and is put in the non-transferred bin file), if it bridges a synteny break and if its coordinate boundaries match different chromosomes, different DNA strands, or if the new mapped distance of its coordinates has increased by more than 20 kb. If a short sequence from the beginning, middle or the end of a feature can be placed within a synteny region, mapping is attempted (see Supplementary Figure S1B). In addition, if the exons of a single gene model map to different gene regions, the model is split and identified in the output file. The bin is an EMBL-format file that can be loaded onto the reference sequence for analysis (see Figure 2, brown colour track). Further outputs include statistics about transferred features or the amount of synteny conserved between the reference and query, as well as Artemis-readable files showing SNPs, indels and regions that lack synteny between the compared sequences, see the example on the sourceforge site.

Transfer of annotation from the M. tuberculosis strain H37Rv onto the strain F11 sequence, over a deletion. The genomes of H37Rv (upper) and F11 (lower) are shown using the Artemis Comparison Tool (ACT). The source H37Rv annotation (light blue) is directly mapped onto F11 by RATT (green) except for those features corresponding to a region that is unique to the source strain that cannot be transferred and are written to a separate output file (brown).

Although two sequences may be related, differences can occur, such as a change in the start or stop codons of a protein-coding sequence. Therefore, we implemented a correction algorithm in RATT (see Supplementary Figure S1C). Figure 3 shows examples of the correction step. First, the start codon is checked. If it is not present, the upstream sequence is searched for a new start codon (Figure 3A). If a stop codon is found, the first start codon downstream is used. In the absence of any start codon, an error is recorded in the results file. If the sequence between exons has no stop codon and a length divisible by three bases but the splice acceptor or donor sequences are wrong, then the intron is eliminated. Likewise, frameshifts previously introduced into the reference to maintain conceptual translations (for instance, in apparent pseudogenes) will also be removed from coding sequences in the query. RATT will also detect, and attempt to fix, incorrect splice sites. As splice sites are difficult to annotate correctly, RATT only tries to correct a gene model that has one wrong splice site. If one incorrect splice site is detected, the closest alternative splice donor or acceptor is found that, when used, generates no frame shifts. Next, RATT searches for genes or exons with internal stop codons, further than 150 bp from the 3′-end. If the introduction of a frameshift would generate a model without internal stop codons, the model is corrected (Figure 3C). Stop codons are corrected last: if a model has less than five internal stops in its last exon, the model is shortened to the first stop codon (Figure 3B). If the model has no stop codon it is extended downstream until a stop codon is found.

RATT corrections of transferred annotations. Annotation from H37Rv were transferred onto the F11 sequence (pale blue), corrected (green) and then compared with the existing strain F11 annotation in EMBL (yellow). (A and B) The correction of start and stop codons, respectively. In a more complex mapping situation (C), where all three reading frames are shown for clarity, RATT maps a large single coding sequence (CDS) from H37Rv to a locus within F11 that includes several in-frame stop codons. By inserting a frameshift (i.e. to indicate a pseudogene) the conceptual translation is preserved. This contrasts with two overlapping genes predicted as part of the F11 genome project.

Different criteria can be specified depending on the translation that an organism uses (e.g. such bacterial TTG and GTG start codons) or whether unsual splice sites are used. RATT is programmed in PERL and was tested in UNIX/LINUX environments. The output can be loaded into Artemis/Act. The list and explanation of all the output files can be found at the sourceforge site.
Publication 2011
Bacteria Base Sequence Chromosomes Codon, Initiator Codon, Terminator Contrast Media Deletion Mutation Exons Frameshift Mutation Gene Deletion Genes Genes, Overlapping Genome INDEL Mutation Insertion Mutation Introns Light Microtubule-Associated Proteins Mycobacterium tuberculosis H37Rv Open Reading Frames Pseudogenes Reading Frames Repetitive Region Single Nucleotide Polymorphism Strains Synteny Tissue Donors

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Publication 2011
Animals Animals, Laboratory Antibiotics Bacteria Cholinergic Neurons Clone Cells Codon, Initiator Codon, Terminator Cre recombinase FLP recombinase Genes Genome Institutional Animal Care and Use Committees Mice, Inbred C57BL Mice, Laboratory Neomycin Neurons Recombination, Genetic Ribosomes

Most recents protocols related to «Codon, Initiator»

Example 2

The full-length murine NKG2D cDNA was purchased from Open Biosystems (Huntsville, AL). Murine CD3ζ chain, Dap10 and Dap12 cDNAs were cloned by RT-PCR using RNAs from ConA- or IL-2 (1000 U/mL)-activated spleen cells as templates. Mouse NKG2D ligands Rae-1p and H60 were cloned from YAC-1 cells by RT-PCR. All PCR reactions were performed using high-fidelity enzyme Pfu or PFUULTRA™ (STRATAGENE@, La Jolla, CA). The oligonucleotides employed in these PCR reactions are listed in Table 9.

TABLE 9
SEQ
ID
No.PrimerSequenceNO:
15′ wtNKG2DGCGAATTCGCCACCATGGCATTGATTCGTGATCGA8
23′ wtNKG2DGGCGCTCGAGTTACACCGCCCTTTTCATGCAGAT9
35′ chNKG2DGGCGAATTCGCATTGATTCGTGATCGAAAGTCT10
45′ wtDAP10GCAAGTCGACGCCACCATGGACCCCCCAGGCTACC11
53′ wtDAP10GGCGAATTCTCAGCCTCTGCCAGGCATGTTGAT12
63′ chDAP10GGCAGAATTCGCCTCTGCCAGGCATGTTGATGTA13
75′ wtDAP12GTTAGAATTCGCCACCATGGGGGCTCTGGAGCCCT14
83′ wtDAP12GCAACTCGAGTCATCTGTAATATTGCCTCTGTG15
95′ ATG-CD3ζGGCGTCGACACCATGAGAGCAAAATTCAGCAGGAG16
103′ ATG-CD3ζGCTTGAATTCGCGAGGGGCCAGGGTCTGCATAT17
115′ CD3ζ-TAAGCAGAATTCAGAGCAAAATTCAGCAGGAGTGC18
123′ CD3ζ-TAAGCTTTCTCGAGTTAGCGAGGGGCCAGGGTCTGCAT19
135′ Rae-1GCATGTCGACGCCACCATGGCCAAGGCAGCAGTGA20
143′ Rae-1GCGGCTCGAGTCACATCGCAAATGCAAATGC21
155′ H60GTTAGAATTCGCCACCATGGCAAAGGGAGCCACC22
163′ H60GCGCTCGAGTCATTTTTTCTTCAGCATACACCAAG23

Restriction sites inserted for cloning purposes are underlined.

Chimeric NKG2D was created by fusing the murine CD3 chain cytoplasmic region coding sequence (CD3′-CYP) to the full-length gene of murine NKG2D. Briefly, the SalI-EcoRI fragment of CD3′-CYP (with the initiation codon ATG at the 5′ end, primer numbers 9 and 10) and the EcoRI-XhoI fragment of NKG2D (without ATG, primer numbers 2 and 3) were ligated into the SalI/XhoI-digested pFB-neo retroviral vector (STRATAGENE®, La Jolla, CA). Similarly, chimeric Dap10 was generated by fusing the SalI-EcoRI fragment of full-length Dap10 (primer numbers 4 and 6) to the EcoRI-XhoI fragment of CD3ζ-CYP (primer numbers 11 and 12). Wild-type NKG2D (primer numbers 2 and 3), Dap10 (primer numbers 4 and 5) and Dap12 (primer numbers 7 and 8) fragments were inserted between the EcoRI and XhoI sites in pFB-neo. In some cases, a modified vector pFB-IRES-GFP was used to allow co-expression of green fluorescent protein (GFP) with genes of interest. pFB-IRES-GFP was constructed by replacing the 3.9 kb AvrUScaI fragment of pFB-neo with the 3.6kb AvrII/ScaI fragment of a plasmid GFP-RV(Ouyang, et al. (1998) Immunity 9:745-755). Rae-1β (primer numbers 13 and 14) and H60 (primer numbers 15 and 16) cDNAs were cloned into pFB-neo. Constructs containing human NKD2D and human CD3ζ or murine Fc were prepared in the same manner using the appropriate cDNAs as templates.

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Patent 2024
Cells Chimera Cloning Vectors Codon, Initiator Concanavalin A Cytoplasm Deoxyribonuclease EcoRI DNA, Complementary Enzymes Genes Green Fluorescent Proteins Homo sapiens Internal Ribosome Entry Sites Ligands Mus Oligonucleotide Primers Oligonucleotides Open Reading Frames Plasmids Response, Immune Retroviridae Reverse Transcriptase Polymerase Chain Reaction RNA Spleen

Example 2

In this example, guide RNAs were designed to target exon 3 after the ATG initiation codon of C9orf72 (Table 2). The strategy was to introduce small indels that will lead to early termination codon, thus inducing non-sense mediated decay of C9orf72 transcripts to reduce RNA foci and dipeptide formation. FIG. 6A shows the human C9orf72 gene sequence of exon 3 with the locations of the non-sense mediated decay (NMD) guide RNA 1r and 2f and the location and sequence of PCR indel analysis primers C9NMD Indel F1 and R1 marked. FIG. 6B shows the results of agarose gel electrophoresis of the PCR products amplified by the C9NMD-Indel F1 and R1 PCR primers. In this example, HEK293T cells were transfected with LV-SpCas9 (Control) or LV-NMDgR-SpCas9 plasmid (2 μg) in triplicate. FIG. 6C shows the results of digital droplet PCT (ddPCR) analysis of the C9orf72 RNA levels from FIG. 6B.

TABLE 2
Guide RNAs generated for
“Non-sense mediated decay.”
SEQ
ID
guide RNAguide RNA sequenceNO:
NMD gRNA 1rUCGAAAUGCAGAGAGUGGUG5
NMD gRNA 2fAAUGGGGAUCGCAGCACAUA6

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Patent 2024
Cells Codon, Initiator Codon, Terminator Dipeptides Electrophoresis, Agar Gel Exons Fingers INDEL Mutation Oligonucleotide Primers Plasmids RNA RNA Decay RNA Sequence Sequence Analysis
All oligonucleotide sequences used are listed in S3 Table. All constructs were verified by sequence analysis. IRES-eGFP was amplified from pL-eGFP, a plasmid with a T7 promoter in which the foreign gene is under control of an encephalomyocarditis virus internal ribosomal entry site and inserted in plasmid pCAGGS/MCSII [104 (link)] using XhoI and BglII restriction sites using standard cloning techniques to create pCAGGS-IRES-GFP. The nucleotide sequences of CHIKV nsPs and protein domains were amplified from pCHIKV-LS3 [21 (link)] and pCHIKrepLS3-nCPE, a replicon derivative from pCHIKV-LS3 mutated in nsP2 (P718S, K649D and R650H), and inserted into pCAGGS-IRES-GFP using EcoRI or SacI and XhoI. Firefly luciferase was amplified from pGL3-MKP-1-Luc [105 (link)] and inserted into pCAGGS-IRES-GFP using EcoRI and XhoI.
pCAGGS-VEEV-nsP2-NTD-Hel was created by amplifying the nsP2-NTD-Hel sequence from cDNA prepared from the VEEV TC-83 stock. The PCR oligonucleotides introduced a start codon, N-terminal HA-tag, a stop codon and SacI and XhoI restriction sites to use for cloning.
pCAGGS-CHIKV-nsP2-NTD-Hel and pCAGGS-VEEV-nsP2-NTD-Hel Walker A and B mutants were created by cloning the CHIKV-nsP2-NTD-Hel or VEEV-nsP2-NTD-Hel PCR product into pCR2.1-TOPO (Thermo Fisher Scientific) for site-directed mutagenesis to introduce the Walker A and B-inactivating mutations prior to transferring the mutated sequences to pCAGGS-IRES-GFP. Renilla luciferase was expressed from phRL-TK or pRL-TK (both Promega).
pCAGGS-FLAG-eEF2 was created by cloning the human synthetic FLAG-eEF2 (IDT) sequence into pCAGGS-MCSII [104 (link)]. pCMV-FLAG-Ub expressed FLAG-tagged ubiquitin [106 (link)]. pCDNA3-FLAG-UbcH10 was a kind gift from prof. Akira Nakagawara (Chiba Cancer Centre, Japan) [107 (link)].
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Publication 2023
Base Sequence Codon, Initiator Codon, Terminator Deoxyribonuclease EcoRI DNA, Complementary DUSP1 protein, human Encephalomyocarditis virus Genes Homo sapiens Internal Ribosome Entry Sites Loss of Function Mutation Luciferases, Firefly Luciferases, Renilla Malignant Neoplasms Mutagenesis, Site-Directed Oligonucleotides Paragangliomas 3 Plasmids Promega Protein Domain Replicon Sequence Analysis Topotecan UBE2C protein, human Ubiquitin Walkers
A DNA fragment containing SV40 nuclear localization signal (nls) and a protein destabilization PEST signal from mouse ornithine decarboxylase (NP_038642.2; corresponding to aa 423–461) was synthesized (Integrated DNA Technologies, Inc.) and cloned into pAPLO (Poe et al. 2017 (link)). The superfolder GFP (sfGFP) coding sequence was PCR amplified from pIHEU-AV-sfGFP (Sapar et al. 2018 (link)), with syn21 (a translation enhancer), start codon, and SV40 nls in the forward primer, and cloned in-frame before SV40nls and PEST in pAPLO.
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Publication 2023
a protein, mouse Codon, Initiator DNA, A-Form Nuclear Localization Signals Oligonucleotide Primers Open Reading Frames Ornithine Decarboxylase Plague Reading Frames Simian virus 40
The crystal structure of selenium-binding protein (SeBP; PDB ID-2JZ7) was retrieved from
the RCSB Protein Data Bank (PDB) along with the gene and amino acid
sequence from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.
The selenium-binding protein, SeBP, in Methanococcus
vannielii
mediates selenium transport inside the cell.
During transport, SeBP sequesters selenium, regulating the amount
of free selenium in the cell, and delivers it specifically to the
selenophosphate synthase enzyme.22 (link) SeBP
was a signal peptide-free protein confirmed by using the Signal P4.1
server (CBS, Denmark). Using a set of primers, the SeBP gene was amplified
by polymerase chain reaction (PCR) from the genomic DNA of M. vannielii. The reverse primer sequence 5′-CGGggtaccCCTACTCCGCGTCAAATGGTACCGC-3
and the forward primer sequence 5′-CGGggtaccTTCGAGGACAAATTCATTATCACCA-3
both introduce a restriction site KpnI on either
side of the start codon and after removing the stop codon, respectively.
DNA sequences of ECFP and Venus were amplified by PCR after shortening
the 5′ and 3′ ends to four codons and two codons each,
respectively. The ECFP and Venus fluorophores were attached to a bacterial
expression vector called pRSET-B (Invitrogen, USA) to create a cassette
(Figure S3). For a nanosensor construct
pRSET-B_ECFP_SeBP_Venus, inserting the amplified SeBP gene between
ECFP and Venus in the pRSET-B vector and fidelity of the construct
was confirmed by full-length sequencing (Figure S4). The pYES-DEST52 vector was used to carry the ECFP_SeBP_Venus
sequences by a gateway cloning method utilizing the LR-Clonase-II
enzyme (Invitrogen, USA) following the manufacturer’s instructions34 (link) for expression of the sensor protein in yeast.
The S. cerevisiae/URA3 strain BY4742
was used for transforming the pYDEST-ECFP_SeBP_Venus plasmid as a
eukaryotic expression system. BY4742 strains were grown in liquid
YEPD (yeast extract peptone dextrose) agar medium at 30 °C with
aeration in a shaker. Following the manufacturer’s instructions
(Invitrogen, USA), competent cells of S. cerevisiae/URA3 were prepared and used for transforming with
the nanosensor sequences. The pcDNA3.1 (−) vector (Invitrogen)
was used to express the sensor protein in HEK-293T cells for mammalian
expression. By using the expression vector pRSET-B, the chimeric sequence
was cloned in the pcDNA3.1 (−) vector at the HindIII and BamHI sites.
Publication 2023
Agar Cells Chimera Cloning Vectors Codon Codon, Initiator Codon, Terminator Enzymes Gene Products, Protein Genes Genome Glucose HEK293 Cells Nitric Oxide Synthase Oligonucleotide Primers Peptones Plasmids Polymerase Chain Reaction Proteins Saccharomyces cerevisiae Selenium Selenium-Binding Proteins Signal Peptides Strains

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More about "Codon, Initiator"

The initiator codon, also known as the start codon, is a critical component in the process of protein synthesis.
This three-nucleotide sequence, commonly AUG (adenine-uracil-guanine), serves as a signal for the ribosome to begin translating the messenger RNA (mRNA) into a polypeptide chain.
The initiator transfer RNA (tRNA) recognizes and binds to the initiator codon, recruiting the small ribosomal subunit to initiate the process of protein translation.
The accurate identification and utilization of the initiator codon is crucial for ensuring the correct translation of genetic information into functional proteins.
This process is fundamental to molecular biology and biochemistry research, with various techniques and tools employed to study and manipulate the initiator codon.
One such tool is the Lipofectamine 2000 reagent, which is commonly used for transfecting cells with DNA or RNA, allowing for the expression of proteins and the study of gene regulation.
The Dual-Luciferase Reporter Assay System, on the other hand, is a powerful tool for measuring promoter activity and gene expression, often involving the use of reporter vectors like the pGEM-T Easy vector or the pENTR/D-TOPO vector.
Additionally, the pcDNA3.1 vector is a widely used expression vector that can be employed for the overexpression of proteins, while the In-Fusion HD Cloning Kit and the Q5 Site-Directed Mutagenesis Kit provide efficient methods for the cloning and modification of DNA sequences, including the initiator codon.
The pENTR/D-TOPO vector and the pGL3-basic vector are also commonly used in molecular biology research, often in conjunction with the Lipofectamine 3000 reagent for efficient transfection and gene expression studies.
By understanding the role of the initiator codon and utilizing the various tools and techniques available, researchers can gain valuable insights into the mechanisms of protein synthesis and gene regulation, ultimately advancing our understanding of biological processes and paving the way for novel discoveries and applications in the field of molecular biology and biochemistry.