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Lysine

Lysine is an essential amino acid critical for protein synthesis and various metabolic processes.
It plays a key role in collagen formation, calcium absorption, and immune function.
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Most cited protocols related to «Lysine»

Following
data acquisition, Thermo RAW files were processed using
a series of software tools that were developed in-house. First the
RAW files were converted to mzXML using a custom version of ReAdW.exe
(http://sashimi.svn.sourceforge.net/viewvc/sashimi/) that
had been modified to export ion accumulation times and FT peak noise.
During this initial processing we also corrected any erroneous assignments
of monoisotopic m/z. Using Sequest,24 (link) MS2 spectra were searched against the human
UniProt database (downloaded on 08/02/2011), supplemented with the
sequences of common contaminating proteins such as trypsin. This forward
database was followed by a decoy component, which included all target
protein sequences in reversed order.
Searches were performed
using a 50 ppm precursor ion tolerance.25 (link) When searching Orbitrap MS2 data, we used 0.02 Th fragment ion tolerance.
The fragment ion tolerance was set to 1.0 Th when searching ITMS2
data. Only peptide sequences with both termini consistent with the
protease specificity of LysC were considered in the database search,
and up to two missed cleavages were accepted. TMT tags on lysine residues
and peptide N-termini (+ 229.162932 Da) and carbamidomethylation of
cysteine residues (+ 57.02146 Da) were set as static modifications,
while oxidation of methionine residues (+ 15.99492 Da) was treated
as a variable modification. An MS2 spectral assignment false discovery
rate of less than 1% was achieved by applying the target-decoy strategy.26 (link) Filtering was performed using linear discriminant
analysis as described previously27 (link) to create
one composite score from the following peptide ion and MS2 spectra
properties: Sequest parameters XCorr and unique ΔCn, peptide
length and charge state, and precursor ion mass accuracy. The resulting
discriminant scores were used to sort peptides prior to filtering
to a 1% FDR, and the probability that each peptide-spectral-match
was correct was calculated using the posterior error histogram.
Following spectral assignment, peptides were assembled into proteins
and proteins were further filtered based on the combined probabilities
of their constituent peptides to a final FDR of 1%. In cases of redundancy,
shared peptides were assigned to the protein sequence with the most
matching peptides, thus adhering to principles of parsimony.28
Publication 2014
Amino Acid Sequence Cytokinesis Immune Tolerance Lysine Methionine Peptides Proteins Trypsin tyrosyl-alanyl-glycine

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Publication 2010
Dialysis Gelatins Lysine methacrylic acid Phosphates Pigs Saline Solution Salts Skin Technique, Dilution
The sequences of all the PPRs were identified with reference to the 11,938 sequences of Orthohepevirus A (including 338 complete HEV genomes) available in the Virus Pathogen Resource (VIPR) database.5 Selected sequences were systematically searched to identify insertions so that they could be used, together with those identified by PacBio sequencing, for further analysis. The compositions of HEV PPR insertions/duplications were determined and their post-translational modifications predicted by analyzing a range of parameters. Potential ubiquitination sites were identified using the BDM-PUB server6 with a threshold of >0.3 average potential score. Potential phosphorylation sites were identified using the NetPhos 3.1 server7 with a threshold of >0.5 average potential score. Potential acetylation sites were identified using the Prediction of Acetylation on Internal Lysines (PAIL) server8 with a threshold of >0.2 average potential score. Potential N-linked glycosylation sites were identified using the NetNGlyc 1.0 server9 with a threshold of >0.5 average potential score. Potential methylation sites were identified using the BPB-PPMS server10 with a threshold of >0.5 average potential score. Nuclear export signal (NES) sites were identified using the Wregex server11 with parameters NES/CRM1 and Relaxed. Nuclear localization signal (NLS) sites were identified using SeqNLS12 with a 0.86 cut-off. The amino acid composition (proportions of amino acids), physico-chemical composition, and net load were analyzed with R. Principal component analysis (PCA) is a mathematical algorithm that reduces the dimensionality of the data while retaining most of the variation in a data set. PCA allows to identify new variables, the principal components, which are linear combinations of the original variables (Ringner, 2008 (link)). PCA was done (excluding the amino acid composition due to redundancy with physico-chemical properties) to summarize and visualize the information on the variables in our data set (Abdi and Williams, 2010 (link)); each variable was then studied independently. An in-house R-pipeline based on the amino acid sequences and the results of each analysis was used to generate bar plots for amino acid composition. The amino acid compositions were assigned to one of two categories: sequences with insertions/duplications (including insertions of human genome and HEV genome duplications) and sequences without insertions/duplications. The other parameters were assigned to one of three categories: sequences with insertions, those with duplications, and sequences without insertion/duplication.
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Publication 2020
Acetylation Amino Acids Amino Acid Sequence chemical composition chemical properties DNA Insertion Elements Genome Genome, Human Insertion Mutation Lysine Methylation Nuclear Export Signals Nuclear Localization Signals Pathogenicity Phosphorylation Protein Glycosylation Sequence Insertion Ubiquitination Virus
HTLA cells, (an HEK293 cell line stably expressing a tTA-dependent luciferase reporter and a β-arrestin2-TEV fusion gene) were a gift from the lab of Richard Axel, and were maintained in DMEM supplemented with 10% FBS, 2 μg/ml puromycin and 100 μg/ml hygromycin B in a humidified atmosphere at 37°C in 5% CO2. For transfection, cells were plated at 9 to 10 × 106 cells per 150 mm cell culture dish (day 1). The following day (day 2), cells were transfected using the calcium phosphate method. On day 3, transfected cells were transferred at 15,000 to 20,000 cells per well in 40 μl of medium into poly-L-lysine coated and rinsed 384-well white clear-bottom cell culture plates (Greiner Bio-one). On day 4, 3.5x drug stimulation solutions were prepared in filter-sterilized assay buffer, which consisted of 20 mM HEPES and 1x HBSS at pH 7.4, and 20 μl added to each well. On day 5, medium and drug solutions were removed from the wells (by aspiration or shaking), and 20 μl per well of Bright-Glo solution (Promega) diluted 20-fold in assay buffer were added to each well. After incubation for 15 to 20 minutes at room temperature, luminescence was counted in a Trilux luminescence counter. Results in the form of RLU (relative luminescence units) were exported into Excel spreadsheets, and Graphpad Prism was used for analysis of data. To measure constitutive activity, no ligand was added on day 4.
Publication 2015
Atmosphere beta-Arrestin 1 Biological Assay Buffers Calcium Phosphates Cell Culture Techniques Cells Genes, vif HEK293 Cells Hemoglobin, Sickle HEPES Hygromycin B Hyperostosis, Diffuse Idiopathic Skeletal Leukocytes Ligands Luciferases Luminescence Lysine Poly A prisma Promega Puromycin Transfection

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Publication 2015
Antibodies Antibodies, Anti-Idiotypic Astrocytes Brain Cell Culture Techniques Cells Endothelial Cells Fetus Gray Matter Homo sapiens Hybridomas Hyperostosis, Diffuse Idiopathic Skeletal Lectin Lysine Macrophage Microglia Neurons Oligodendrocyte Precursor Cells Oligodendroglia Papain Poly A Protease Inhibitors RNA-Seq Serum Thy-1 Antigens Tissues Trypsin

Most recents protocols related to «Lysine»

Example 2

A. Seed Treatment with Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

B. Seed Treatment with Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.

The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.

The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.

In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.

A. Seed Treatment with Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.

B. Seed Treatment with Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the with the agricultural composition will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the with the agricultural composition will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.

The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.

A. Seed Treatment with Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.

B. Seed Treatment with Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.

A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.

It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.

C. Treatment with Agricultural Composition Comprising Isolated Microbe

In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.

D. Treatment with Agricultural Composition Comprising Microbial Consortia

In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.

For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.

A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.

It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.

The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.

The inoculants were prepared from isolates grown as spread plates on R2A incubated at 25° C. for 48 to 72 hours. Colonies were harvested by blending with sterile distilled water (SDW) which was then transferred into sterile containers. Serial dilutions of the harvested cells were plated and incubated at 25° C. for 24 hours to estimate the number of colony forming units (CFU) in each suspension. Dilutions were prepared using individual isolates or blends of isolates (consortia) to deliver 1×105 cfu/microbe/seed and seeds inoculated by either imbibition in the liquid suspension or by overtreatment with 5% vegetable gum and oil.

Seeds corresponding to the plants of table 15 were planted within 24 to 48 hours of treatment in agricultural soil, potting media or inert growing media. Plants were grown in small pots (28 mL to 200 mL) in either a controlled environment or in a greenhouse. Chamber photoperiod was set to 16 hours for all experiments on all species. Air temperature was typically maintained between 22-24° C.

Unless otherwise stated, all plants were watered with tap water 2 to 3 times weekly. Growth conditions were varied according to the trait of interest and included manipulation of applied fertilizer, watering regime and salt stress as follows:

    • Low N—seeds planted in soil potting media or inert growing media with no applied N fertilizer
    • Moderate N—seeds planted in soil or growing media supplemented with commercial N fertilizer to equivalent of 135 kg/ha applied N
    • Insol P—seeds planted in potting media or inert growth substrate and watered with quarter strength Pikovskaya's liquid medium containing tri-calcium phosphate as the only form phosphate fertilizer.
    • Cold Stress—seeds planted in soil, potting media or inert growing media and incubated at 10° C. for one week before being transferred to the plant growth room.
    • Salt stress—seeds planted in soil, potting media or inert growing media and watered with a solution containing between 100 to 200 mg/L NaCl.

Untreated (no applied microbe) controls were prepared for each experiment. Plants were randomized on trays throughout the growth environment. Between 10 and 30 replicate plants were prepared for each treatment in each experiment. Phenotypes were measured during early vegetative growth, typically before the V3 developmental stage and between 3 and 6 weeks after sowing. Foliage was cut and weighed. Roots were washed, blotted dry and weighed. Results indicate performance of treatments against the untreated control.

TABLE 15
StrainShootRoot
Microbe sp.IDCropAssayIOC (%)IOC (%)
Bosea thiooxidans123EfficacyEfficacy
overall100%100%
Bosea thiooxidans54522WheatEarly vigor - insol P30-40 
Bosea thiooxidans54522RyegrassEarly vigor50-60 50-60 
Bosea thiooxidans54522RyegrassEarly vigor - moderate P0-100-10
Duganella violaceinigra111EfficacyEfficacy
overall100%100%
Duganella violaceinigra66361TomatoEarly vigor0-100-10
Duganella violaceinigra66361TomatoEarly vigor30-40 40-50 
Duganella violaceinigra66361TomatoEarly vigor20-30 20-30 
Herbaspirillum huttiense222Efficacy
overall100%
Herbaspirillum huttiense54487WheatEarly vigor - insol P30-40 
Herbaspirillum huttiense60507MaizeEarly vigor - salt stress0-100-10
Janthinobacterium sp.222Efficacy
Overall100%
Janthinobacterium sp.54456WheatEarly vigor - insol P30-40 
Janthinobacterium sp.54456WheatEarly vigor - insol P0-10
Janthinobacterium sp.63491RyegrassEarly vigor - drought0-100-10
stress
Massilia niastensis112EfficacyEfficacy
overall80%80%
Massilia niastensis55184WheatEarly vigor - salt stress0-1020-30 
Massilia niastensis55184WinterEarly vigor - cold stress0-1010-20 
wheat
Massilia niastensis55184WinterEarly vigor - cold stress20-30 20-30 
wheat
Massilia niastensis55184WinterEarly vigor - cold stress10-20 10-20 
wheat
Massilia niastensis55184WinterEarly vigor - cold stress<0<0
wheat
Novosphingobium rosa211EfficacyEfficacy
overall100%100%
Novosphingobium rosa65589MaizeEarly vigor - cold stress0-100-10
Novosphingobium rosa65619MaizeEarly vigor - cold stress0-100-10
Paenibacillus amylolyticus111EfficacyEfficacy
overall100%100%
Paenibacillus amylolyticus66316TomatoEarly vigor0-100-10
Paenibacillus amylolyticus66316TomatoEarly vigor10-20 10-20 
Paenibacillus amylolyticus66316TomatoEarly vigor0-100-10
Pantoea agglomerans323EfficacyEfficacy
33%50%
Pantoea agglomerans54499WheatEarly vigor - insol P40-50 
Pantoea agglomerans57547MaizeEarly vigor - low N<00-10
Pantoea vagans55529MaizeEarly vigor<0<0
(formerly P. agglomerans)
Polaromonas ginsengisoli111EfficacyEfficacy
66%100%
Polaromonas ginsengisoli66373TomatoEarly vigor0-100-10
Polaromonas ginsengisoli66373TomatoEarly vigor20-30 30-40 
Polaromonas ginsengisoli66373TomatoEarly vigor<010-20 
Pseudomonas fluorescens122Efficacy
100%
Pseudomonas fluorescens54480WheatEarly vigor - insol P>100 
Pseudomonas fluorescens56530MaizeEarly vigor - moderate N0-10
Rahnella aquatilis334EfficacyEfficacy
80%63%
Rahnella aquatilis56532MaizeEarly vigor - moderate N10-20 
Rahnella aquatilis56532MaizeEarly vigor - moderate N0-100-10
Rahnella aquatilis56532WheatEarly vigor - cold stress0-1010-20 
Rahnella aquatilis56532WheatEarly vigor - cold stress<00-10
Rahnella aquatilis56532WheatEarly vigor - cold stress10-20 <0
Rahnella aquatilis57157RyegrassEarly vigor<0
Rahnella aquatilis57157MaizeEarly vigor - low N0-100-10
Rahnella aquatilis57157MaizeEarly vigor - low N0-10<0
Rahnella aquatilis58013MaizeEarly vigor0-1010-20 
Rahnella aquatilis58013MaizeEarly vigor - low N0-10<0
Rhodococcus erythropolis313Efficacy
66%
Rhodococcus erythropolis54093MaizeEarly vigor - low N40-50 
Rhodococcus erythropolis54299MaizeEarly vigor - insol P>100 
Rhodococcus erythropolis54299MaizeEarly vigor<0<0
Stenotrophomonas chelatiphaga611EfficacyEfficacy
60%60%
Stenotrophomonas chelatiphaga54952MaizeEarly vigor0-100-10
Stenotrophomonas chelatiphaga47207MaizeEarly vigor<0 0
Stenotrophomonas chelatiphaga64212MaizeEarly vigor0-1010-20 
Stenotrophomonas chelatiphaga64208MaizeEarly vigor0-100-10
Stenotrophomonas chelatiphaga58264MaizeEarly vigor<0<0
Stenotrophomonas maltophilia612EfficacyEfficacy
43%66%
Stenotrophomonas maltophilia54073MaizeEarly vigor - low N50-60 
Stenotrophomonas maltophilia54073MaizeEarly vigor<00-10
Stenotrophomonas maltophilia56181MaizeEarly vigor0-10<0
Stenotrophomonas maltophilia54999MaizeEarly vigor0-100-10
Stenotrophomonas maltophilia54850MaizeEarly vigor 00-10
Stenotrophomonas maltophilia54841MaizeEarly vigor<00-10
Stenotrophomonas maltophilia46856MaizeEarly vigor<0<0
Stenotrophomonas rhizophila811EfficacyEfficacy
12.5%37.5%
Stenotrophomonas rhizophila50839MaizeEarly vigor<0<0
Stenotrophomonas rhizophila48183MaizeEarly vigor<0<0
Stenotrophomonas rhizophila45125MaizeEarly vigor<0<0
Stenotrophomonas rhizophila46120MaizeEarly vigor<00-10
Stenotrophomonas rhizophila46012MaizeEarly vigor<0<0
Stenotrophomonas rhizophila51718MaizeEarly vigor0-100-10
Stenotrophomonas rhizophila66478MaizeEarly vigor<0<0
Stenotrophomonas rhizophila65303MaizeEarly vigor<00-10
Stenotrophomonas terrae221EfficacyEfficacy
50%50%
Stenotrophomonas terrae68741MaizeEarly vigor<0<0
Stenotrophomonas terrae68599MaizeEarly vigor<00-10
Stenotrophomonas terrae68599Capsicum *Early vigor20-30 20-30 
Stenotrophomonas terrae68741Capsicum *Early vigor10-20 20-30 

The data presented in table 15 describes the efficacy with which a microbial species or strain can change a phenotype of interest relative to a control run in the same experiment. Phenotypes measured were shoot fresh weight and root fresh weight for plants growing either in the absence of presence of a stress (assay). For each microbe species, an overall efficacy score indicates the percentage of times a strain of that species increased a both shoot and root fresh weight in independent evaluations. For each species, the specifics of each independent assay is given, providing a strain ID (strain) and the crop species the assay was performed on (crop). For each independent assay the percentage increase in shoot and root fresh weight over the controls is given.

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Patent 2024
Ammonia Asparagine Aspartic Acid Biological Assay Bosea thiooxidans Calcium Phosphates Capsicum Cells Chlorophyll Cold Shock Stress Cold Temperature Crop, Avian Dietary Fiber DNA Replication Droughts Drought Tolerance Embryophyta Environment, Controlled Farmers Fertilization Glutamic Acid Glutamine Glycine Growth Disorders Herbaspirillum Herbaspirillum huttiense Leucine Lolium Lycopersicon esculentum Lysine Maize Massilia niastensis Methionine Microbial Consortia Nitrates Nitrites Nitrogen Novosphingobium rosa Paenibacillus Paenibacillus amylolyticus Pantoea agglomerans Pantoea vagans Phenotype Phosphates Photosynthesis Plant Development Plant Embryos Plant Leaves Plant Proteins Plant Roots Plants Polaromonas ginsengisoli Pseudoduganella violaceinigra Pseudomonas Pseudomonas fluorescens Rahnella Rahnella aquatilis Retention (Psychology) Rhodococcus erythropolis Rosa Salt Stress Sodium Chloride Sodium Chloride, Dietary Stenotrophomonas chelatiphaga Stenotrophomonas maltophilia Stenotrophomonas rhizophila Stenotrophomonas terrae Sterility, Reproductive Strains Technique, Dilution Threonine Triticum aestivum Tryptophan Tyrosine Vegetables Zea mays

Example 251

The structure of the compound of Example 251 is depicted in FIG. 5.

(+)-Sodium L-ascorbate (16 mg, 0.08 mmol) was added to a solution of the foregoing compound (105 mg, 0.05 mmol), N2,N6-dipent-4-ynoyl-L-lysine (6 mg, 0.02 mmol) and CuSO4.5H2O (20 mg, 0.08 mmol) in t-BuOH (10 mL)/H2O (20 mL) under N2 atmosphere. The solution turned milky. The reaction was stirred at rt for 6.5 h and more N2,N6-dipent-4-ynoyl-L-lysine (6 mg, 0.02 mmol) was added. After 23 h the reaction was quenched with aqueous Na2CO3 (0.166 mL, 0.16 mmol) and filtered. The filtrate was freeze dried, and the crude product purified by preparative HPLC (Column: Waters Atlantis T3 ODB 5 μm 150×19 mm; mobile phase: A—H2O/TFA 100/0.15 and B—MeCN with a gradient 5% B for 0.5 min, 5-38% B in 1.5 min, 38-43% B in 14 min; flow 30 mL/min at rt, detection 230 nm) to give the title compound obtained (5.5 mg, 3%). HRMS: calculated for (C200H280F2N34O48S6+3H)3+ 1479.6552; found (ESI [M+3H]3+) 1479.6583, purity 82%.

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Patent 2024
Atmosphere Freezing High-Performance Liquid Chromatographies Ligands Lysine Milk Peptides Sodium Ascorbate
Not available on PMC !

EXAMPLE 7

IngredientsAmount
Ticagrelor (mg)70
Pectin(mg)200
Mannitol(mg)100
Carbopol(mg)300
Citric acid (mg)100
L-Lysine (mg)40
Purified water (ml)q.s. to 250 μl

Ticagrelor and pullulan were accurately weighed and dissolved in distilled water. This solution was mixed well followed by the addition of plasticizers and superdisintegrant. Then the resultant homogeneous solution was poured into a Petri dish (diameter 6 cm) and dried in an oven at 600 C for 24 h. The film was carefully removed from the Petri dish and cut into desired size (2×2 cm2).

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Patent 2024
Autism Spectrum Disorders Carbopol Citric Acid Hyperostosis, Diffuse Idiopathic Skeletal Lysine Mannitol Methoxypectin Plasticizers pullulan Ticagrelor

Example 2

    • As batch reactor, a 10 ml glass vessel (diameter 2.5 cm) is used. A Pt coil (coil=0.5 cm high, 1 cm diameter, circumference=3.1 cm, surface area=1.6 cm2) serves as anode. As cathode a Ni foam is bent into cylindrical shape (Size=5.5 cm×5.5 cm—long enough to reach out of the reactor). It is bend in a cylindrical shape and wrapped around a cylindrical foam (diameter=2 cm). The cathode surface area=5.5 cm×0.5 cm (Pt coil height)=2.75 cm2. The Pt wire above the coil is insulated by a PTFE tube in order to prevent echem reactions at the wire and pierced through the spacer to keep the Pt electrode in place. The Ni cathode leaves a gap open to be able to see the Pt coil. The distance between both electrodes is 3 mm
    • No reference electrode and no stirring are used.
    • The reactor is filled with 5 ml lysine monohydrochloride (0.28 M) and NaBr (0.14 M). The measured pH is around 6.
    • Reaction parameters: The total experiment time: 14 h, current=41 mA (equals a current density of 15 mA/cm2 at anode).
    • During reaction, samples are taken and analyzed by NMR. The results are summarized in Table 1.

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Patent 2024
Blood Vessel Bromides Decompression Sickness Lysine Polytetrafluoroethylene

Example 3

As batch reactor, a 10 ml glass vessel (diameter 2.5 cm) is used. A Pt coil (coil=0.5 cm high, 1 cm diameter, circumference=3.1 cm, surface area=1.6 cm2) serves as anode. As cathode a Ni foam is bent into cylindrical shape (Size=5.5 cm×5.5 cm—long enough to reach out of the reactor). It is bend in a cylindrical shape and wrapped around a cylindrical foam (diameter=2 cm). The cathode surface area=5.5 cm×0.5 cm (Pt coil height)=2.75 cm2. The Pt wire above the coil is insulated by a PTFE tube in order to prevent echem reactions at the wire and pierced through the spacer to keep the Pt electrode in place. The Ni cathode leaves a gap open to be able to see the Pt coil. The distance between both electrodes is 3 mm

    • No reference electrode and no stirring are used.
    • The reactor is filled with 5 ml lysine monohydrochloride (1 M) and NaBr (0.14 M). The measured pH is around 6.
    • Reaction parameters: The total experiment time: 72 h, current=41 mA (current density=15 mA/cm2).
    • During reaction, samples are taken and analyzed by NMR. The results are summarized in Table 1.

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Patent 2024
Blood Vessel Bromides Decompression Sickness Lysine Polytetrafluoroethylene

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More about "Lysine"

Lysine, an essential amino acid, plays a crucial role in various physiological processes.
It is vital for protein synthesis, collagen formation, calcium absorption, and immune function.
Researchers can leverage the power of AI-driven platforms like PubCompare.ai to optimize their Lysine studies, enhancing reproducibility and accuracy.
PubCompare.ai's innovative features enable seamless Lysine research, supporting scientific discovery and advancements in this important area of study.
The platform helps users easily locate relevant protocols from literature, preprints, and patents, while utilizing AI comparisons to identify the best protocols and products.
Lysine is also closely related to other important compounds and materials.
Poly-L-lysine and Poly-D-lysine are synthetic polymers of Lysine that have diverse applications, such as cell adhesion and transfection.
Neurobasal medium, a widely used cell culture medium, often contains Lysine, along with other essential components like FBS, GlutaMAX, Penicillin/streptomycin, and B27 supplement.
These elements work synergistically to support the growth and differentiation of various cell types, including those in the nervous system.
DMEM, another common cell culture medium, also includes L-glutamine, which interacts with Lysine in various metabolic pathways.
By understanding the interconnected nature of Lysine and these related terms, researchers can optimize their experimental design and achieve more robust and reliable results.
PubCompare.ai's AI-driven platform empowers scientists to navigate the complexities of Lysine research, streamlining their workflows and unlocking new possibilities for scientific discovery.
With its user-friendly interface and data-driven insights, researchers can effortlessly identify the best protocols and products, ultimately advancing our understanding of this essential amino acid and its multifaceted roles in biological systems.