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Cysteine

Cysteine is a sulfur-containing amino acid that plays a crucial role in numerous biological processes.
It is involved in protein structure, redox regulation, and various metabolic pathways.
Cysteine is essential for the formation of disulfide bridges, which help stabilize protein tertiary structures.
It also serves as a precursor for the antioxidant glutathione and other important sulfur-containing compounds.
Cysteine research is vital for understanding its physiological functions and potential therapeutic applications in areas such as oxidative stress, protein folding, and metabolic disorders.
Researchers can leverage PubCompare.ai's innovative tools to streamline their cysteine studies, optimizing protocols and making data-driven decisions to enhance reproducibility and accuracy.

Most cited protocols related to «Cysteine»

Peptides were identified using SEQUEST (Thermo Finni-gan) to search the human International Protein Index (ipi.HUMAN.v3.54) and reversed human IPI protein databases with dynamic modification of methionine (+15.9949) and static modification of cysteine (+57.0215) [24 ]. Fragment ion tolerance was set at 0.5 Da. A false discovery rate (FDR) of 1% was estimated using the formula 100 × 2 × decoy hits/all hits % [25 (link)], and applied to all data sets at the total peptide level. To remove redundant protein entries, the software ProteinProphet [26 (link)] was applied as a clustering tool to group related proteins into a single group entry. The theoretical pI and hydrophobicity values of peptides were calculated using in-house software (Protein-DigestionSimulator). Identified proteins were categorized using STRAP tool [27 (link)].
Publication 2011
Cysteine Homo sapiens Immune Tolerance Methionine NR4A2 protein, human Peptides Proteins Staphylococcal Protein A
The DIA data were analyzed with Spectronaut 5, a mass spectrometer vendor-independent software from Biognosys. The default settings were used for the Spectronaut search. Retention time prediction type was set to dynamic iRT (correction factor for window 1). Decoy generation was set to scrambled (no decoy limit). Interference correction on MS2 level was enabled. The false discovery rate (FDR) was set to 1% at peptide level. The DDA spectra were analyzed with the MaxQuant Version 1.4.1.2 analysis software using default settings with the following alterations (29 (link)). The minimal peptide length was set to 6. Search criteria included carbamidomethylation of cysteine as a fixed modification, oxidation of methionine and acetyl (protein N terminus) as variable modifications. The mass tolerance for the precursor was 4.5 ppm and for the fragment ions was 20 ppm. The DDA files were searched against the human UniProt fasta database (state 29.04.2013, 20,254 entries), the spike in proteins (12 entries), and the Biognosys iRT peptide sequences (11 entries). The identifications were filtered to satisfy FDR of 1% on peptide and protein level.
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Publication 2015
Cysteine Homo sapiens Immune Tolerance Ions Methionine M protein, multiple myeloma nucleoprotein, Measles virus Peptides Proteins Retention (Psychology)
Peak lists (38 058 spectra) were searched with Mascot 2.2 using the following parameters: enzyme = trypsin (allowing for cleavage before proline27 (link)); maximum missed cleavages = 2; variable modifications = carbamidomethylation of cysteine, oxidation of methionine; product mass tolerance = 0.5 Da. The International Protein Index (IPI) database version 337 (Mus musculus) was used as a protein sequence database. Common external contaminants from cRAP (a maintained list of contaminants, laboratory proteins and protein standards provided through the Global Proteome Machine Organisation, http://www.thegpm.org/crap/index.html, were appended. The compounded database contained 51 355 sequences and 23 635 027 residues. For FDR assessment, a separate decoy database was generated from the protein sequence database using the decoy.pl Perl script provided by Matrix Science. This script randomizes each entry, but retains the average amino acid composition and length of the entries.
Data was searched at 100 ppm peptide mass tolerance to evaluate the mass accuracy of the data set. After a correction25 (link) of a systematic mass deviation of 3 ppm, 90% and 99% of all PSMs with a Mascot score greater than 30 fell within a ±5 and ±20 ppm mass window, respectively. For the most stringent mass tolerance settings where Mascot thresholds are most sensitive, the data was searched at 20 ppm. Moreover, data was also searched at 500 ppm peptide mass tolerance to enable mass accuracy filtering combined with the adjusted MHT (Adjusted Mascot Threshold, AMT25 (link)). The mass deviation filter was set to 5 ppm, which was shown to be the most effective filter setting in combination with the AMT (Supporting Information Figure 1).
Publication 2009
Amino Acids Cysteine Cytokinesis Enzymes Feces Immune Tolerance Methionine Mice, House Peptides Proteins Proteome SH2B protein, human Strains Trypsin
The BG505 (BG505.W6M.ENV.C2) env gene (GenBank accession nos. ABA61516 and DQ208458) is derived from a subtype A T/F virus isolated from a 6-week old, HIV-1-infected infant [28] (link). It has 73% identity to the proposed PG9-sensitive progenitor virus from the PG9 bNAb donor, based on computational analysis of the most recent common ancestor sequence [29] (link). The BG505 gp120 monomer binds PG9, which is unusual given the quaternary nature of the PG9-Env interaction [29] (link). To make the BG505 SOSIP.664 gp140 construct, we introduced the following sequence changes (Fig. 1A): A501C and T605C (gp120-gp41ECTO disulfide bond [5] (link)); I559P in gp41ECTO (trimer-stabilizing [6] (link)); REKR to RRRRRR in gp120 (cleavage enhancement [31] (link)); T332N in gp120 (introduction of epitopes dependent on glycan-332); stop codon at gp41ECTO residue 664 (improvement of homogeneity and solubility [23] (link), [24] (link)). The codon-optimized gene for BG505 SOSIP.664 gp140 was obtained from Genscript (Piscataway, NJ) and cloned into pPPI4 using PstI and NotI[5] (link).
Variants of the BG505 SOSIP.664 gp140 trimers bearing either a His-tag or a D7324 epitope-tag sequence at the C-terminus of gp41ECTO were also made by adding the amino acid sequences GSGSGGSGHHHHHHHH or GSAPTKAKRRVVQREKR, respectively, after residue 664 in gp41ECTO and preceding the stop codon. These proteins are designated SOSIP.664-His gp140 and SOSIP.664-D7324 gp140. We also made a His-tagged gp140 with the C501 and C605 cysteines replaced by their original residues, and with P559 similarly reverted to the original isoleucine (BG505 WT.664-His gp140). When expressed in the presence of excess furin to ensure efficient precursor cleavage, the absence of the SOS disulfide bond means the gp140 trimer is unstable and dissociates to gp120 and a trimeric form of His-tagged gp41ECTO (BG505 gp41ECTO-His); the latter can be used in a NiNTA-capture enzyme-linked immunosorbent assay (ELISA; see below).
A monomeric BG505 gp120 with a similar sequence to the gp120 components of the gp140 trimers was designed by: introducing a stop codon into the SOSIP.664 construct at residue 512; reverting the optimized cleavage site to wild type (RRRRRR→REKR at residues 508–511); reverting the A501C change; introducing the D7324 epitope into the C5 region (R500K+G507Q); and making a L111A substitution to decrease gp120 dimer formation [29] (link), [63] (link). A slightly modified version of BG505 gp120 that has been described previously [25] (link) was used in DSC experiments. For this modification, the BG505 gp120 gene was cloned downstream of an IgK secretion signal in a phCMV3 plasmid and upstream of a His-tag. The cleavage site was mutated to prevent the His-tag from being cleaved off, leading to the following C-terminal sequence: RAKRRVVGSEKSGHHHHHH.
The BG505 gp160 clone for generating Env-pseudoviruses for neutralization assays has been described elsewhere [29] (link). We modified this clone by inserting the same T332N substitution that is present in the BG505 SOSIP.664 trimers, and refer to the resulting virus as BG505.T332N.
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Publication 2013
Amino Acid Sequence Biological Assay Broadly Neutralizing Antibodies Clone Cells Codon Codon, Terminator Cysteine Cytokinesis Disulfides Enzyme-Linked Immunosorbent Assay Epitopes FURIN protein, human Genes GP 140 HIV-1 HIV Envelope Protein gp120 HIV Envelope Protein gp160 Infant Isoleucine Plasmids Polysaccharides Proteins secretion Sequence Analysis Tissue Donors Virus
We genetically engineered S. cerevisiae to contain a cysteine at position 47 in histone H4. Cells grown to mid-log phase were harvested, permeabilized and labeled with N(1,10 phenanthroline- 5-yl) iodoacetamide. The label covalently bound to the cysteine and allowed for copper chelation. Copper chloride, mercaptoproprionic acid and hydrogen peroxide were added sequentially creating hydroxyl radicals that cleaved the nucleosomal DNA at sites flanking the center. After the mapping reaction, the genomic DNA was purified from the cells and ran on an agarose gel. The shortest molecular weight DNA fragment (~150-200bp) was purified and prepared for highthroughput parallel sequencing.
Publication 2012
Acids Cells Chlorides Copper Cysteine Genome Histone H4 Hydroxyl Radical Iodoacetamide Nucleosomes Peroxide, Hydrogen Phenanthrolines Sepharose

Most recents protocols related to «Cysteine»

Example 24

For groups 1-12, see study design in FIG. 32, the 21mer Atrogin-1 guide strand was designed. The sequence (5′ to 3′) of the guide/antisense strand was UCGUAGUUAAAUCUUCUGGUU (SEQ ID NO: 14237). The guide and fully complementary RNA passenger strands were assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Base, sugar and phosphate modifications that are well described in the field of RNAi were used to optimize the potency of the duplex and reduce immunogenicity. Purified single strands were duplexed to get the double stranded siRNA described in figure A. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linkers. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

For groups 13-18 see study design in FIG. 32, a 21mer negative control siRNA sequence (scramble) (published by Burke et al. (2014) Pharm. Res., 31(12):3445-60) with 19 bases of complementarity and 3′ dinucleotide overhangs was used. The sequence (5′ to 3′) of the guide/antisense strand was UAUCGACGUGUCCAGCUAGUU (SEQ ID NO: 14228). The same base, sugar and phosphate modifications that were used for the active MSTN siRNA duplex were used in the negative control siRNA. All siRNA single strands were fully assembled on solid phase using standard phospharamidite chemistry and purified over HPLC. Purified single strands were duplexed to get the double stranded siRNA. The passenger strand contained two conjugation handles, a C6-NH2 at the 5′ end and a C6-SH at the 3′ end. Both conjugation handles were connected to siRNA passenger strand via phosphodiester-inverted abasic-phosphodiester linker. Because the free thiol was not being used for conjugation, it was end capped with N-ethylmaleimide.

Antibody siRNA Conjugate Synthesis Using Bis-Maleimide (BisMal) Linker

Step 1: Antibody Reduction with TCEP

Antibody was buffer exchanged with 25 mM borate buffer (pH 8) with 1 mM DTPA and made up to 10 mg/ml concentration. To this solution, 4 equivalents of TCEP in the same borate buffer were added and incubated for 2 hours at 37° C. The resultant reaction mixture was combined with a solution of BisMal-siRNA (1.25 equivalents) in pH 6.0 10 mM acetate buffer at RT and kept at 4° C. overnight. Analysis of the reaction mixture by analytical SAX column chromatography showed antibody siRNA conjugate along with unreacted antibody and siRNA. The reaction mixture was treated with 10 EQ of N-ethylmaleimide (in DMSO at 10 mg/mL) to cap any remaining free cysteine residues.

Step 2: Purification

The crude reaction mixture was purified by AKTA Pure FPLC using anion exchange chromatography (SAX) method-1. Fractions containing DAR1 and DAR2 antibody-siRNA conjugates were isolated, concentrated and buffer exchanged with pH 7.4 PBS.

Anion Exchange Chromatography Method (SAX)-1.

Column: Tosoh Bioscience, TSKGel SuperQ-5PW, 21.5 mm ID×15 cm, 13 um

Solvent A: 20 mM TRIS buffer, pH 8.0; Solvent B: 20 mM TRIS, 1.5 M NaCl, pH 8.0; Flow Rate: 6.0 ml/min

Gradient:

a.% A% BColumn Volume
b.10001
c.81190.5
d.505013
e .40600.5
f.01000.5
g.10002

Anion Exchange Chromatography (SAX) Method-2

Column: Thermo Scientific, ProPac™ SAX-10, Bio LC™, 4×250 mm

Solvent A: 80% 10 mM TRIS pH 8, 20% ethanol; Solvent B: 80% 10 mM TRIS pH 8, 20% ethanol, 1.5 M NaCl; Flow Rate: 0.75 ml/min

Gradient:

a.Time% A% B
b.0.09010
c.3.009010
d.11.004060
e.14.004060
f.15.002080
g.16.009010
h.20.009010

Step-3: Analysis of the Purified Conjugate

The purity of the conjugate was assessed by analytical HPLC using anion exchange chromatography method-2 (Table 22).

TABLE 22
SAX retention% purity
Conjugatetime (min)(by peak area)
TfR1-Atrogin-1 DAR19.299
TfR1-Scramble DAR18.993

In Vivo Study Design

The conjugates were assessed for their ability to mediate mRNA downregulation of Atrogin-1 in muscle (gastroc) in the presence and absence of muscle atrophy, in an in vivo experiment (C57BL6 mice). Mice were dosed via intravenous (iv) injection with PBS vehicle control and the indicated ASCs and doses, see FIG. 32. Seven days post conjugate delivery, for groups 3, 6, 9, 12, and 15, muscle atrophy was induced by the daily administration via intraperitoneal injection (10 mg/kg) of dexamethasone for 3 days. For the control groups 2, 5, 8, 11, and 14 (no induction of muscle atrophy) PBS was administered by the daily intraperitoneal injection. Groups 1, 4, 7, 10, and 13 were harvested at day 7 to establish the baseline measurements of mRNA expression and muscle weighted, prior to induction of muscle atrophy. At three days post-atrophy induction (or 10 days post conjugate delivery), gastrocnemius (gastroc) muscle tissues were harvested, weighed and snap-frozen in liquid nitrogen. mRNA knockdown in target tissue was determined using a comparative qPCR assay as described in the methods section. Total RNA was extracted from the tissue, reverse transcribed and mRNA levels were quantified using TaqMan qPCR, using the appropriately designed primers and probes. PPIB (housekeeping gene) was used as an internal RNA loading control, results were calculated by the comparative Ct method, where the difference between the target gene Ct value and the PPIB Ct value (ΔCt) is calculated and then further normalized relative to the PBS control group by taking a second difference (ΔΔCt).

Quantitation of tissue siRNA concentrations was determined using a stem-loop qPCR assay as described in the methods section. The antisense strand of the siRNA was reverse transcribed using a TaqMan MicroRNA reverse transcription kit using a sequence-specific stem-loop RT primer. The cDNA from the RT step was then utilized for real-time PCR and Ct values were transformed into plasma or tissue concentrations using the linear equations derived from the standard curves.

Results

The data are summarized in FIG. 33-FIG. 35. The Atrogin-1 siRNA guide strands were able to mediate downregulation of the target gene in gastroc muscle when conjugated to an anti-TfR mAb targeting the transferrin receptor, see FIG. 33. Increasing the dose from 3 to 9 mg/kg reduced atrophy-induced Atrogin-1 mRNA levels 2-3 fold. The maximal KD achievable with this siRNA was 80% and a tissue concentration of 40 nM was needed to achieve maximal KD in atrophic muscles. This highlights the conjugate delivery approach is able to change disease induce mRNA expression levels of Atrogin-1 (see FIG. 34), by increasing the increasing the dose. FIG. 35 highlights that mRNA down regulation is mediated by RISC loading of the Atrogin-1 guide strands and is concentration dependent.

Conclusions

In this example, it was demonstrated that a TfR1-Atrogin-1 conjugates, after in vivo delivery, mediated specific down regulation of the target gene in gastroc muscle in a dose dependent manner. After induction of atrophy the conjugate was able to mediate disease induce mRNA expression levels of Atrogin-1 at the higher doses. Higher RISC loading of the Atrogin-1 guide strand correlated with increased mRNA downregulation.

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Patent 2024
Acetate Anions Antibody Formation Antigens Atrophy Biological Assay Borates Buffers Carbohydrates Chromatography Complementary RNA Complement System Proteins Cysteine Dexamethasone Dinucleoside Phosphates DNA, Complementary Down-Regulation Ethanol Ethylmaleimide Freezing Genes Genes, Housekeeping High-Performance Liquid Chromatographies Immunoglobulins Injections, Intraperitoneal maleimide MicroRNAs Mus Muscle, Gastrocnemius Muscle Tissue Muscular Atrophy Nitrogen Obstetric Delivery Oligonucleotide Primers Pentetic Acid Phosphates Plasma PPIB protein, human Prospective Payment Assessment Commission Real-Time Polymerase Chain Reaction Retention (Psychology) Reverse Transcription RNA, Messenger RNA, Small Interfering RNA-Induced Silencing Complex RNA Interference Sodium Chloride Solvents Stem, Plant STS protein, human Sulfhydryl Compounds Sulfoxide, Dimethyl TFRC protein, human Tissues Transferrin tris(2-carboxyethyl)phosphine Tromethamine
Not available on PMC !

Example 3

AAC contains two cysteine residues which are known to undergo post translational modification to form intra/intermolecular disulfide bonds resulting in HMW aggregates. As such, it was hypothesized that the formation of disulfide bonds could be prevented using a structure-guided design employing covalent bond forming cysteine-reactive drug-like compounds targeting the two cysteines in order to develop potent and selective SMDs of hAAC. Accordingly, irreversible electrophile cysteine-reactive compounds comprising acrylamides and chloro-acetamides functional groups were included in screening assays for SMDs. These compounds were made using the synthesis route shown below in Scheme 1.

[Figure (not displayed)]

The screening resulted in the identification of multiple compounds (FIGS. 4C-4D). These compounds are referred to as “covalent” given their potential to from covalent bond with the cysteine residue (FIGS. 6A and 6B).

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Patent 2024
Acetamides Acrylamides Anabolism Biological Assay Cysteine Disulfides Figs Pharmaceutical Preparations Post-Translational Protein Processing Spondylometaphyseal dysplasia, Sedaghatian type

Example 2

Bovine serum albumin (BSA), erbB2 extracellular domain (HER2) and streptavidin (100 μl of 2 μg/ml) were separately coated on Maxisorp 96 well plates. After blocking with 0.5% Tween-20 (in PBS), biotinylated and non-biotinylated hu4D5Fabv8-ThioFab-Phage (2×1010 phage particles) were incubated for 1 hour at room temperature followed by incubation with horseradish peroxidase (HRP) labeled secondary antibody (anti-M13 phage coat protein, pVIII protein antibody). FIG. 8 illustrates the PHESELECTOR Assay by a schematic representation depicting the binding of Fab or ThioFab to HER2 (top) and biotinylated ThioFab to streptavidin (bottom).

Standard HRP reaction was carried out and the absorbance was measured at 450 nm. Thiol reactivity was measured by calculating the ratio between OD450 for streptavidin/OD450 for HER2. A thiol reactivity value of 1 indicates complete biotinylation of the cysteine thiol. In the case of Fab protein binding measurements, hu4D5Fabv8 (2-20 ng) was used followed by incubation with HRP labeled goat polyclonal anti-Fab antibodies.

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Patent 2024
Anti-Antibodies Bacteriophage M13 Bacteriophages Biological Assay Biotinylation Cardiac Arrest Cysteine ERBB2 protein, human Goat herstatin protein, human Horseradish Peroxidase Immunoglobulins Proteins Serum Albumin, Bovine Streptavidin Sulfhydryl Compounds Tween 20

Example 10

Three top double cysteine mutants were reduced with DTT (120 eq) and re-oxidized with dHAA (30 eq) as described for PEGylation. The partially reduced and re-oxidized antibody mutants were then first conjugated with BCN-PEG3-Maleimide linker at 20 eq and then a PROTAC linker, PROTAC BRD4 Degrader-5-CO-PEG3-N3, at 20 eq as described by Manerio et al. (ACS Chem Biol. 2020. 15(6): 1306-1312). The conjugates were analyzed using MALDI-TOF MS for intact protein analysis (linear positive mode). The DARs were calculated by dividing the differences in average masses between the conjugates and non-conjugated mutants by the mass of two linkers. The results are shown below in Table 6. The DAR values were lower than the PAR values for the same double cysteine mutations recited above. The PROTAC linker used in this study was of low quality, which contributed to the lower DAR values. Repeat analysis of these double cysteine mutations with PEGylation confirmed that the lower DAR values are not the result of a loss of activity at the engineered cysteine sites.

TABLE 6
DAR values for double cysteine antibody mutations
SamplesDAR
A118C + A339C PROTAC conjugate2.9 ± 0.1
A118C + V422C PROTAC conjugate2.4 ± 0.3
K274C + S440C PROTAC conjugate2.6 ± 0.1

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Patent 2024
BRD4 protein, human Cysteine Immunoglobulins maleimide Mutation Protac PROTAC-3 Proteins Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Not available on PMC !

Example 2

Directed TpH Engineering

It was found that Homo sapiens TpH2, i.e., the fragment set forth as SEQ ID NO:13; hsTpH2, was sensitive to p-chlorophenylalanine. However, mutations at residues N97 and/or P99 were found to confer resistance to p-chlorophenylalanine and to exhibit improved 5HTP biosynthesis after growing cells in the presence of 100 mg/l of tryptophan overnight at 3TC. A further, saturated mutagenesis, study found that isoleucine (I) was a beneficial amino acid change at residue N97, while cysteine (C), aspartic acid (D), leucine (L) and glutamine (Q) were shown to be beneficial at residue P99. In particular, the combined changes 1\197I/P99D in hsTpH2 showed a >15% increase in 5HTP production in the presence of 100 mg/l tryptophan and the combined changes N97I/P99C in hsTpH2 showed a >25% increase in 5HTP biosynthesis, over the parent TPH2 sequence (SEQ ID NO:13) after acquiring the E2K mutation.

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Patent 2024
5-Hydroxytryptophan Amino Acids Anabolism Aspartic Acid Cells Cysteine Fenclonine Glutamine Homo sapiens Isoleucine Leucine Melatonin Mutagenesis Mutation Parent Tryptophan

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More about "Cysteine"

Cysteine, also known as L-cysteine, is a sulfur-containing amino acid that plays a crucial role in numerous biological processes.
It is involved in protein structure, redox regulation, and various metabolic pathways.
Cysteine is essential for the formation of disulfide bridges, which help stabilize protein tertiary structures.
It also serves as a precursor for the antioxidant glutathione and other important sulfur-containing compounds.
Cysteine research is vital for understanding its physiological functions and potential therapeutic applications in areas such as oxidative stress, protein folding, and metabolic disorders.
Researchers can leverage powerful tools like Proteome Discoverer and the Mascot search engine to streamline their cysteine studies.
Proteome Discoverer, a widely used proteomics software, can help analyze and quantify cysteine-containing proteins, while Mascot is a robust search engine for identifying and characterizing these proteins.
Additionally, techniques like trypsin digestion and FBS (fetal bovine serum) treatment can be employed to study cysteine-mediated protein interactions and modifications.
PubCompare.ai's innovative tools can further enhance the cysteine research workflow.
By leveraging AI-driven comparisons, researchers can locate the best protocols from literature, pre-prints, and patents, improving reproducibility and accuracy.
PubCompare.ai's intelligent protocol selection and optimization tools empower data-driven decision making, unlocking new insights and advancements in cysteine studies.
Whether exploring the role of cysteine in protein folding, oxidative stress, or metabolic pathways, researchers can rely on a suite of powerful techniques and tools to streamline their investigations.
From the fundamental amino acid cysteine to the sophisticated software like Proteome Discoverer 2.2 and Proteome Discoverer 1.4, the research community is well-equipped to unravel the complexities and unlock the potential of this vital biomolecule.