The 2430 draft reference genomes comprised of 20 or more contigs were used to simulate partial and contaminated genomes reflecting the characteristics of assembled contigs. Under this random contig model, genomes were generated by randomly removing contigs until the simulated genome reached or fell below a target completeness level. Contamination was introduced by randomly adding contigs with replacement from a single randomly selected genome until the desired level of contamination was reached or exceeded. These 2430 draft genomes were also used to generate genomes reflecting the limitations of metagenomic binning methods that rely on the statistical properties of contigs (e.g., tetranucleotide signature, coverage) to establish putative population genomes. To simulate this, partial genomes were generated by randomly removing contigs with a probability inversely proportional to their length until the simulated genome reached or fell below a target completeness level. Contamination was introduced by randomly selecting another draft reference genome and adding contigs from this genome with a probability inversely proportional to length until the desired level of contamination was reached or exceeded.
Acetate
It serves as a key metabolite in various biological processes, including energy production, lipid synthesis, and histone acetylation.
Acetate can be derived from the breakdown of carbohydrates, fats, and proteins, and it plays a crucial role in cellular homeostasis.
In research, acetate is commonly used as a substrate or buffer component in a wide range of experiments, from cell culture to enzymatic assays.
Optimizing the use of acetate in research can be challenging, as the most accurate and reproducible protocols may be scattered across literature, preprints, and patents.
PubCompare.ai, an AI-driven platform, offers a solution to this problem by enabling researchers to effortlessly locate the best protocols and products to advance their acetate studies.
With its cutting-edege technology and AI-powered comparisons, PubCompare.ai can help streamline your research and achive better results.
Most cited protocols related to «Acetate»
The 2430 draft reference genomes comprised of 20 or more contigs were used to simulate partial and contaminated genomes reflecting the characteristics of assembled contigs. Under this random contig model, genomes were generated by randomly removing contigs until the simulated genome reached or fell below a target completeness level. Contamination was introduced by randomly adding contigs with replacement from a single randomly selected genome until the desired level of contamination was reached or exceeded. These 2430 draft genomes were also used to generate genomes reflecting the limitations of metagenomic binning methods that rely on the statistical properties of contigs (e.g., tetranucleotide signature, coverage) to establish putative population genomes. To simulate this, partial genomes were generated by randomly removing contigs with a probability inversely proportional to their length until the simulated genome reached or fell below a target completeness level. Contamination was introduced by randomly selecting another draft reference genome and adding contigs from this genome with a probability inversely proportional to length until the desired level of contamination was reached or exceeded.
The MS acquisition method starts with positive ion mode by acquiring the m/z 402–412 in MS + mode at Rm/z = 200 = 140 000 to monitor the [Chol + NH4+]+ ion for 12 s. All individual scans in every segment are the average of 2 microscans. Automatic gain control (AGC) was set to 5 × 105 and maximum ion injection time (IT) was set to 200 ms. Then we scan the m/z 550–1000 in MS + (Rm/z = 200 = 140 000) with lock mass activated at a common background (m/z = 680.48022) for 18 s. AGC was set to 106 and IT was set to 50 ms. This is followed by a MSMS + (Rm/z = 200 = 17 500) data independent analysis triggered by an inclusion list for 105 s. The inclusion list contains all the masses from 500.5 to 999.75 with 1 Da intervals. AGC was set to 105 and IT was set to 64 ms. The isolation width was set to 1.0 Da, first mass of MSMS acquisition was 250 Da and normalized collision energy was set to 20%. Both MS+ and MSMS+ data are combined to monitor SE, DAG, and TAG ions as ammonium adducts. After polarity switch to negative ion mode, a lag of 15 s before acquisition was inserted to allow spray stabilization. Then, we scan for the m/z 400–650 in FTMS − (Rm/z = 200 = 140 000) for 15 s with lock mass activated at a common background (m/z = 529.46262) to monitor LPG, LPA, LPI, LPS, and LPE as deprotonated anions and LPC and LPC O– as acetate adducts. AGC was set to 106 and IT was set to 50 ms. We then scan the m/z 520–940 in FTMS − (Rm/z = 200 = 140 000) for 15 s with lock mass activated at a common background (m/z = 529.46262). AGC was set to 106 and IT was set to 50 ms. Finally, we scan MSMS- (Rm/z= 200 = 17 500) by data independent analysis triggered by an inclusion list for 90 s. This inclusion list contains all the masses from 590.5 to 939.5 with 1 Da intervals. AGC was set to 105 and IT was set to 64 ms. Isolation width was set to 1.0 Da, first mass of MSMS acquisition was 150 Da, and normalized collision energy was set to 35%. Both MS and MSMS data were combined in order to monitor PC, PC O–, HexCer, Cer, SM as acetate adducts and PS, PG, PA, PE, PE O–, and PI as deprotonated anions.
Most recents protocols related to «Acetate»
Example 3
Human primary sebocytes (Zenbio, RTP, NC) were plated at confluence on 96 well Scintiplates and allowed to adhere overnight. Cells were treated with the SCD1 inhibitor Compound A prepared in media containing the LXR agonist and insulin and cultured overnight. The DGAT inhibitor A922500 (2 μM) was included as a positive control. The following day 14C-acetate was added to each well and the plate was gently mixed. Cells were placed in the incubator at 37° C. for 4 hours total. After 2 hours of incubation the Cell Titer Blue (CTB) assay was started, 10 μl of CTB reagent was added to each well and incubated for the remaining 2 hours at 37° C. Following the 4 hour incubation, the RFU was determined using the SpectraMax Gemini EM under the following parameters: 560ex/590em with a 570 cutoff, top read. The medium was removed and cells were washed 3× with PBS. All of the PBS was removed from the wells and the plates were allowed to air dry. The plate was read in the MicroBeta TriLux counter and data was analyzed as CPM and normalized to CTB readout. Data is shown in
Example 24
For groups 1-12, see study design in
For groups 13-18 see study design in
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:
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:
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).
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
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
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.
Example 62
Step 1: tert-butyl 2-(4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-2-oxo-1,4-diazepan-1-yl)acetate. To a solution of 4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-1,4-diazepan-2-one (20 mg) and tert-butyl 2-bromoacetate (30 mg) in anhydrous DMF was added NaH (10 mg, 65% in mineral oil). After stirring 3 hours, the reaction mixture was diluted with EtOAc (10 mL) and carefully quenched with water (5 mL). Isolation of the organic layer and a column chromatography eluting with a gradient of hexanes and EtOAc afforded the desired intermediate tert-butyl 2-(4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-2-oxo-1,4-diazepan-1-yl)acetate (20 mg) (MS: [M+1]+ 456).
Step 2: 2-(4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-2-oxo-1,4-diazepan-1-yl)acetic acid. tert-butyl 2-(4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-2-oxo-1,4-diazepan-1-yl)acetate was further treated with TFA (0.4 mL) in DCM (0.8 mL). Removal of DCM and TFA under reduced pressure and lyophilization afforded the desired product (10 mg)-2-(4-(7-chloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-2-oxo-1,4-diazepan-1-yl)acetic acid (MS: [M+1]+ 400).
Example 4
Synthesis of Peptides
All peptides were synthesized using standard and well-established solid phase peptide synthesis using the Fmoc-strategy. Identity and purity of each individual peptide have been determined by mass spectrometry and analytical RP-HPLC. The peptides were obtained as white to off-white lyophilizes (trifluoro acetate salt) in purities of >50%. All TUMAPs are preferably administered as trifluoro-acetate salts or acetate salts, other salt-forms are also possible.
Example 57
Step 1: Methyl 1-(2-acetoxyacetyl)-4-(7,8-dichloro-4-(1H-imidazol-1-yl)quinolin-2-yl)piperazine-2-carboxylate. Methyl 4-(7,8-dichloro-4-(1H-imidazol-1-yl)quinolin-2-yl)piperazine-2-carboxylate TFA salt (20 mg) in DMF (0.5 mL) and TEA (0.1 mL) was treated with 2-chloro-2-oxoethyl acetate (20 mg) over 4 hours. Aqueous work up with EtOAc/water/sat NaHCO3/brine and purification by column chromatography afforded methyl 1-(2-acetoxyacetyl)-4-(7,8-dichloro-4-(1H-imidazol-1-yl)quinolin-2-yl)piperazine-2-carboxylate (12 mg) (MS: [M+1]+ 506).
Step 2: 4-(7,8-Dichloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-1-(2-hydroxyacetyl)piperazine-2-carboxylic acid. The intermediate was dissolved in MeOH (0.8 mL) and water (0.2 mL) and treated with LiOH—H2O (20 mg) overnight. The reaction mixture was diluted with water (2 mL) and acidified with HOAc (0.02 mL) to precipitate 4-(7,8-dichloro-4-(1H-imidazol-1-yl)quinolin-2-yl)-1-(2-hydroxyacetyl)piperazine-2-carboxylic acid (7 mg) (MS: [M+1]+ 450).
Top products related to «Acetate»
More about "Acetate"
It can be derived from the breakdown of carbohydrates, fats, and proteins, and is essential for cellular homeostasis.
Acetate is commonly used as a substrate or buffer component in a wide range of research experiments, from cell culture to enzymatic assays.
Optimizing the use of acetate in research can be challenging, as the most accurate and reproducible protocols may be scattered across literature, preprints, and patents.
PubCompare.ai, an AI-driven platform, offers a solution to this problem by enabling researchers to effortlessly locate the best protocols and products to advance their acetate studies.
Acetate is closely related to other compounds, such as Ionomycin, which is a calcium ionophore often used in cell signaling studies.
Tris-Acetate gels, on the other hand, are a type of electrophoresis gel used to separate and analyze DNA, RNA, and proteins.
Oleic acid, a monounsaturated fatty acid, can also be converted to acetate through metabolic pathways.
Additionally, the use of Sodium hydroxide, Methanol, DMSO, and Hydrochloric acid may be relevant in the context of acetate research, as these chemicals can be used for pH adjustment, solvent preparation, and sample pretreatment. 1-octadecene, a long-chain alkene, and Bovine serum albumin, a common protein used in cell culture media, may also be encountered in acetate-related studies.
By leveraging the cutting-edege technology and AI-powered comparisons of PubCompare.ai, researchers can streamline their acetate studies and achive better results.