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Purity: ≥98%
1M7 is a reagent for RNA SHAPE-MaP experiments that enables analysis of RNA secondary structures at single nucleotide resolution in<70 seconds. SHAPE chemistry performed with 1M7 accurately reports the known structure of the RNase P specificity domain under native conditions. 1M7 reactivity detects nucleotides constrained both by base pairing and by idiosyncratic, noncanonical tertiary interactions. SHAPE chemistry enables very precise analysis of the differences between two structures, such as Mg2+-dependent tertiary interactions. 1M7 is easily handled in the laboratory and enables analysis of large RNA structures at single nucleotide resolution in less than 70 s.
ln Vitro |
Selective 2‘-hydroxyl acylation analyzed by primer extension (SHAPE) chemistry allows local nucleotide flexibility to be quantitatively assessed at single nucleotide resolution in any RNA. SHAPE chemistry exploits structure-based gating of the nucleophilic reactivity of the ribose 2‘-hydroxyl group by the extent to which a nucleotide is constrained or flexible. SHAPE chemistry was developed using N-methylisatoic anhydride (NMIA), which is only moderately electrophilic and requires tens of minutes to form ribose 2‘-O-adducts. Here, we design and evaluate a significantly more useful, fast-acting, reagent for SHAPE chemistry. Introduction of a nitro group para to the reactive carbonyl to form 1-methyl-7-nitroisatoic anhydride (1M7) yields a reagent that both reacts significantly more rapidly with RNA to form 2‘-O-adducts and is also more labile toward advantageous, self-limiting, hydrolysis. With 1M7, the single nucleotide resolution interrogation of the RNA structure is complete in 70 s. SHAPE analysis performed with 1M7 accurately reports the secondary and tertiary structure of the RNase P specificity domain and allows the secondary structure of this RNA to be predicted with up to 91% accuracy [1].
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Enzyme Assay |
Many biological processes are RNA-mediated, but higher-order structures for most RNAs are unknown, which makes it difficult to understand how RNA structure governs function. Here we describe selective 2'-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) that makes possible de novo and large-scale identification of RNA functional motifs. Sites of 2'-hydroxyl acylation by SHAPE are encoded as noncomplementary nucleotides during cDNA synthesis, as measured by massively parallel sequencing. SHAPE-MaP-guided modeling identified greater than 90% of accepted base pairs in complex RNAs of known structure, and we used it to define a new model for the HIV-1 RNA genome. The HIV-1 model contains all known structured motifs and previously unknown elements, including experimentally validated pseudoknots. SHAPE-MaP yields accurate and high-resolution secondary-structure models, enables analysis of low-abundance RNAs, disentangles sequence polymorphisms in single experiments and will ultimately democratize RNA-structure analysis [2].
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Cell Assay |
SHAPE-MaP is unique among RNA structure probing strategies in that it both measures flexibility at single-nucleotide resolution and quantifies the uncertainties in these measurements. We report a straightforward analytical framework that incorporates these uncertainties to allow detection of RNA structural differences between any two states, and we use it here to detect RNA-protein interactions in healthy mouse trophoblast stem cells. We validate this approach by analysis of three model cytoplasmic and nuclear ribonucleoprotein complexes, in 2 min in-cell probing experiments. In contrast, data produced by alternative in-cell SHAPE probing methods correlate poorly (r = 0.2) with those generated by SHAPE-MaP and do not yield accurate signals for RNA-protein interactions. We then examine RNA-protein and RNA-substrate interactions in the RNase MRP complex and, by comparing in-cell interaction sites with disease-associated mutations, characterize these noncoding mutations in terms of molecular phenotype. Together, these results reveal that SHAPE-MaP can define true interaction sites and infer RNA functions under native cellular conditions with limited preexisting knowledge of the proteins or RNAs involved.[3]
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References |
[1]. A fast-acting reagent for accurate analysis of RNA secondary and tertiary structure by SHAPE chemistry. J Am Chem Soc . 2007 Apr 11;129(14):4144-5. doi: 10.1021/ja0704028.
[2]. RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP). Nat Methods . 2014 Sep;11(9):959-65. doi: 10.1038/nmeth.3029. [3]. Detection of RNA-Protein interactions in living cells with SHAPE. Biochemistry . 2015 Nov 24;54(46):6867-75. doi: 10.1021/acs.biochem.5b00977. |
Additional Infomation |
1-methyl-7-nitroisatoic anhydride is a 3,1-benzoxazin-1,4-dione having an N-methyl substituent and a nitro group at the 7-position. It is a benzoxazine and a C-nitro compound.
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Molecular Formula |
C9H6N2O5
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Molecular Weight |
222.15434
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Exact Mass |
222.027
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Elemental Analysis |
C, 48.66; H, 2.72; N, 12.61; O, 36.01
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CAS # |
73043-80-8
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Related CAS # |
73043-80-8;
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PubChem CID |
12535373
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Appearance |
Light yellow to yellow solid powder
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Density |
1.6±0.1 g/cm3
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Boiling Point |
395.4±44.0 °C at 760 mmHg
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Flash Point |
192.9±28.4 °C
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Vapour Pressure |
0.0±0.9 mmHg at 25°C
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Index of Refraction |
1.623
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LogP |
0.4
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Hydrogen Bond Donor Count |
0
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Hydrogen Bond Acceptor Count |
5
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Rotatable Bond Count |
0
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Heavy Atom Count |
16
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Complexity |
350
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Defined Atom Stereocenter Count |
0
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SMILES |
O=C(O1)N(C)C2=CC([N+]([O-])=O)=CC=C2C1=O
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InChi Key |
MULNCJWAVSDEKJ-UHFFFAOYSA-N
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InChi Code |
InChI=1S/C9H6N2O5/c1-10-7-4-5(11(14)15)2-3-6(7)8(12)16-9(10)13/h2-4H,1H3
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Chemical Name |
1-Methyl-7-nitro-2H-3,1-benzoxazine-2,4(1H)-dione
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Synonyms |
1M7; 1-methyl-7-nitro-3,1-benzoxazine-2,4-dione
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HS Tariff Code |
2934.99.9001
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Storage |
Powder -20°C 3 years 4°C 2 years In solvent -80°C 6 months -20°C 1 month Note: This product requires protection from light (avoid light exposure) during transportation and storage. |
Shipping Condition |
Room temperature (This product is stable at ambient temperature for a few days during ordinary shipping and time spent in Customs)
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Solubility (In Vitro) |
DMSO : ~50 mg/mL (~225.07 mM)
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Solubility (In Vivo) |
Note: Listed below are some common formulations that may be used to formulate products with low water solubility (e.g. < 1 mg/mL), you may test these formulations using a minute amount of products to avoid loss of samples.
Injection Formulations
Injection Formulation 1: DMSO : Tween 80: Saline = 10 : 5 : 85 (i.e. 100 μL DMSO stock solution → 50 μL Tween 80 → 850 μL Saline)(e.g. IP/IV/IM/SC) *Preparation of saline: Dissolve 0.9 g of sodium chloride in 100 mL ddH ₂ O to obtain a clear solution. Injection Formulation 2: DMSO : PEG300 :Tween 80 : Saline = 10 : 40 : 5 : 45 (i.e. 100 μL DMSO → 400 μLPEG300 → 50 μL Tween 80 → 450 μL Saline) Injection Formulation 3: DMSO : Corn oil = 10 : 90 (i.e. 100 μL DMSO → 900 μL Corn oil) Example: Take the Injection Formulation 3 (DMSO : Corn oil = 10 : 90) as an example, if 1 mL of 2.5 mg/mL working solution is to be prepared, you can take 100 μL 25 mg/mL DMSO stock solution and add to 900 μL corn oil, mix well to obtain a clear or suspension solution (2.5 mg/mL, ready for use in animals). View More
Injection Formulation 4: DMSO : 20% SBE-β-CD in saline = 10 : 90 [i.e. 100 μL DMSO → 900 μL (20% SBE-β-CD in saline)] Oral Formulations
Oral Formulation 1: Suspend in 0.5% CMC Na (carboxymethylcellulose sodium) Oral Formulation 2: Suspend in 0.5% Carboxymethyl cellulose Example: Take the Oral Formulation 1 (Suspend in 0.5% CMC Na) as an example, if 100 mL of 2.5 mg/mL working solution is to be prepared, you can first prepare 0.5% CMC Na solution by measuring 0.5 g CMC Na and dissolve it in 100 mL ddH2O to obtain a clear solution; then add 250 mg of the product to 100 mL 0.5% CMC Na solution, to make the suspension solution (2.5 mg/mL, ready for use in animals). View More
Oral Formulation 3: Dissolved in PEG400  (Please use freshly prepared in vivo formulations for optimal results.) |
Preparing Stock Solutions | 1 mg | 5 mg | 10 mg | |
1 mM | 4.5015 mL | 22.5073 mL | 45.0146 mL | |
5 mM | 0.9003 mL | 4.5015 mL | 9.0029 mL | |
10 mM | 0.4501 mL | 2.2507 mL | 4.5015 mL |
*Note: Please select an appropriate solvent for the preparation of stock solution based on your experiment needs. For most products, DMSO can be used for preparing stock solutions (e.g. 5 mM, 10 mM, or 20 mM concentration); some products with high aqueous solubility may be dissolved in water directly. Solubility information is available at the above Solubility Data section. Once the stock solution is prepared, aliquot it to routine usage volumes and store at -20°C or -80°C. Avoid repeated freeze and thaw cycles.
Calculation results
Working concentration: mg/mL;
Method for preparing DMSO stock solution: mg drug pre-dissolved in μL DMSO (stock solution concentration mg/mL). Please contact us first if the concentration exceeds the DMSO solubility of the batch of drug.
Method for preparing in vivo formulation::Take μL DMSO stock solution, next add μL PEG300, mix and clarify, next addμL Tween 80, mix and clarify, next add μL ddH2O,mix and clarify.
(1) Please be sure that the solution is clear before the addition of next solvent. Dissolution methods like vortex, ultrasound or warming and heat may be used to aid dissolving.
(2) Be sure to add the solvent(s) in order.
NCT Number | Recruitment | interventions | Conditions | Sponsor/Collaborators | Start Date | Phases |
NCT05462145 | RECRUITING | Device: Globe Pulsed Field System | Paroxysmal Atrial Fibrillation Persistent Atrial Fibrillation |
Kardium Inc. | 2023-03-09 | Not Applicable |
Accuracy of SHAPE-MaP-directed secondary structure modeling (a) Secondary structure modeling accuracies reported as a function of sensitivity (sens) and positive predictive value (ppv) for calculations performed without experimental constraints, with conventional capillary electrophoresis (CE) data, and with SHAPE-MaP data obtained with the 1M7 reagent22,38 or with three-reagent differential (Diff) data19. Results are colored on a scale to reflect low (red) to high (green) modeling accuracy. (b) Relationship between sequencing read depth, hit level, and accuracy of RNA structure modeling. Structure prediction accuracy (vertical axis) is shown as the geometric average of the sens and ppv of predicted structures with respect to the accepted model38. For the 16S rRNA, this accuracy ranges from 50% in the absence of experimental data to 89% for single-reagent SHAPE (shown), and to 91% for the three-reagent “differential”19 experiment. Boxplots summarize modeling the secondary structure of the 16S ribosomal RNA as a function of simulated SHAPE-MaP read depth. At each depth, 100 folding trajectories were sampled. The line at the center of the box indicates the median value and boxes indicate the interquartile range. Whiskers contain data points that are within 1.5 times the interquartile range and outliers are indicated with (+) marks. Hit level is the total signal above normalized background per transcript nucleotide.[2]. RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP). Nat Methods . 2014 Sep;11(9):959-65. doi: 10.1038/nmeth.3029. td> |
SHAPE-MaP analysis of the HIV-1 NL4-3 genome (a) SHAPE reactivities for the NL4-3 HIV-1 genomic RNA. Reactivities are shown as the centered 55-nt median window, relative to the global median; regions above or below the line are more flexible or constrained than the median, respectively. Shannon entropy values for 55-nt windows were calculated by considering the pairing probability of a nucleotide over all structures in a 1M7 and differential SHAPE19 reactivity data-constrained Boltzmann ensemble and reflect how well determined the secondary structure model is for each nucleotide region. Arcs representing base pairs are colored by their respective pairing probabilities, with green arcs indicating highly probable helices. Areas with many overlapping arcs have multiple potential structures. Pseudoknots (PK) are indicated by black arcs. (b) RNA regions identified as having biological functions. Brackets enclose well-determined regions and are drawn to emphasize locations of these regions relative to known RNA features in the context of the viral genome. Regions correspond to low SHAPE-low Shannon entropy domains and are extended to include all intersecting helices from the lowest predicted free-energy secondary structure. 5’ and 3’ UTRs are brown; splice acceptors and donors are green and blue, respectively; polypurine tracts are yellow; variable domains are purple; and the frameshift and RRE domains are red. These elements fall within regions with low SHAPE and low Shannon entropy much more frequently than expected by chance (p = 0.002; see Online Methods). (c) Secondary structure models for regions, identified de novo, with low SHAPE reactivities and low Shannon entropies. Nucleotides are colored by SHAPE reactivity and pseudoknotted structures are labeled in blue. Larger figure images, showing nucleotide identities, are provided in Supplementary Fig. 7.[2]. RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP). Nat Methods . 2014 Sep;11(9):959-65. doi: 10.1038/nmeth.3029. td> |