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7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine

7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine is a synthetic compound with potential therapeutic applications.
This heterocyclic molecule contains a benzazepine core and features chloro, hydroxy, iodophenyl, and methyl substituents.
Reserachers can use PubCompre.ai's AI-driven tools to optimize their work with this compound, including locating protocols from literature, preprints, and patents, and identifying the best methods and products to ensure reproducibility and streamline their research process.

Most cited protocols related to «7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine»

1
Comprehensive tumor single-cell RNA-seq database
Cited 201 times
We developed a text-mining-based data parsing workflow and collected tumor scRNA-seq datasets of human from GEO (16 (link)) and ArrayExpress (17 (link)). We searched the single-cell-related keywords such as ‘single cell RNA sequencing’ or ‘scRNAseq’ or ‘single cell’ or ‘single-cell’, as well as the technology-related keywords like ‘microfluidics’, ‘10X Genomics’ and ‘SMARTseq’, and the tumor-related keywords such as ‘tumor’ or ‘cancer’ or ‘carcinoma’ in the description page of GEO or ArrayExpress. Each dataset was then manually confirmed and curated. A total of 118 cancer-related scRNA-seq datasets were obtained initially and were further filtered to keep the datasets with >1000 high-quality cells. To expand the utility of TISCH, we also included the scRNA-seq datasets of mice treated with immunotherapy and three scRNA-seq datasets of human peripheral blood mononuclear cells (PBMC) from 10X Genomics. Overall, the TISCH database contains 76 high-quality tumor datasets across 27 cancer types and three PBMC datasets (Supplementary Table S1). We downloaded the expression matrix of the raw count, TPM or FPKM (if available) for each dataset. We collected sample information from databases or the original studies, such as the patient ID, tissue origin, treatment condition, response groups and the original cell-type annotation. Notably, we processed each cancer type separately if a dataset contained multiple cancer types. The source code for processing all the collected scRNA-seq datasets are deposited at the Github repository (https://github.com/DongqingSun96/TISCH/tree/master/code)
Sun D., Wang J., Han Y., Dong X., Ge J., Zheng R., Shi X., Wang B., Li Z., Ren P., Sun L., Yan Y., Zhang P., Zhang F., Li T, & Wang C. (2020). TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment. Nucleic Acids Research, 49(D1), D1420-D1430.
Publication 2020
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Carcinoma Cells Homo sapiens Immunotherapy Malignant Neoplasms Mus Neoplasms Patients PBMC Peripheral Blood Mononuclear Cells Single-Cell RNA-Seq Tissues Trees
2
Molecular Profiling of Brain Tumors
Cited 24 times
DNA was extracted from samples of primary brain tumor and xenografts and from patient-matched normal blood lymphocytes obtained from the Tissue Bank at the Preston Robert Tisch Brain Tumor Center at Duke University and collaborating centers, as described previously.17 (link) All analyzed brain tumors were subjected to consensus review by two neuropathologists. Table 1 lists the types of brain tumors we analyzed. The samples from glioblastomas included 138 primary tumors and 13 secondary tumors. Of the 138 primary tumors, 15 were from patients under the age of 21 years. Secondary glioblastomas were categorized as WHO grade IV on the basis of histologic criteria but had been categorized as WHO grade II or III at least 1 year earlier. Of the 151 tumors, 63 had been analyzed in our previous genomewide mutation analysis of glioblastomas. None of the lower-grade tumors were included in that analysis.16 (link)
In addition to brain tumors, we analyzed 35 lung cancers, 57 gastric cancers, 27 ovarian cancers, 96 breast cancers, 114 colorectal cancers, 95 pancreatic cancers, and 7 prostate cancers, along with 4 samples from patients with chronic myelogenous leukemia, 7 from patients with chronic lymphocytic leukemia, 7 from patients with acute lymphoblastic leukemia, and 45 from patients with acute myelogenous leukemia. All samples were obtained in accordance with the Health Insurance Portability and Accountability Act. Acquisition of tissue specimens was approved by the institutional review board at the Duke University Health System and at each of the participating institutions.
Exon 4 of the IDH1 gene was amplified with the use of a polymerase-chain-reaction (PCR) assay and sequenced in DNA from the tumor and lymphocytes from each patient, as described previously.16 (link) In all gliomas and medulloblastomas without an R132 IDH1 mutation, exon 4 of the IDH2 gene (which contains the IDH2 residue equivalent to R132 of IDH1) was sequenced and analyzed for somatic mutations. In addition, we evaluated all astrocytomas and oligodendrogliomas of WHO grade I to grade III, all secondary glioblastomas, and 96 primary glioblastomas without R132 IDH1 mutations or R172 IDH2 mutations for alterations in the remaining coding exons of IDH1 and IDH2. All coding exons of TP53 and PTEN were also sequenced in the panel of diffuse astrocytomas, oligodendrogliomas, anaplastic oligodendrogliomas, anaplastic astrocytomas, and glioblastomas. EGFR amplification and the CDKN2A-CDKN2B deletion were analyzed with the use of quantitative real-time PCR in the same tumors.18 (link) We evaluated samples of oligodendrogliomas and anaplastic oligodendrogliomas for loss of heterozygosity at 1p and 19q, as described previously.15 (link),19 (link)
Yan H., Parsons D.W., Jin G., McLendon R., Rasheed B.A., Yuan W., Kos I., Batinic-Haberle I., Jones S., Riggins G.J., Friedman H., Friedman A., Reardon D., Herndon J., Kinzler K.W., Velculescu V.E., Vogelstein B, & Bigner D.D. (2009). IDH1 and IDH2 Mutations in Gliomas. The New England journal of medicine, 360(8), 765-773.
Publication 2009
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Anaplastic Oligodendroglioma Astrocytoma Astrocytoma, Anaplastic Biological Assay BLOOD Brain Neoplasms Brain Tumor, Primary CDKN2A Gene Chronic Lymphocytic Leukemia Colorectal Carcinoma Deletion Mutation Diploid Cell EGFR protein, human Ethics Committees, Research Exons Gastric Cancer Genes Glioblastoma Glioma Grade II Astrocytomas Heterografts IDH2, human Leukemia, Myelocytic, Acute Leukemias, Chronic Granulocytic Loss of Heterozygosity Lung Cancer Lymphocyte Malignant Neoplasm of Breast Medulloblastoma Mutation Neoplasms Neuropathologist Oligodendroglioma Ovarian Cancer Pancreatic Cancer Patients Polymerase Chain Reaction Precursor Cell Lymphoblastic Leukemia Lymphoma Prostate Cancer PTEN protein, human Real-Time Polymerase Chain Reaction Tissues TP53 protein, human
3
Evaluation of Portable Aerosol Sampler
Cited 18 times
Tests of the serial prototype performance (Figure 1C) were conducted in the laboratory. Performance of the piezo-pump was established by measuring pump flow as a function of flow resistance posed by a needle value to induce pressure drop (to simulate that posed by an air sampling filter). These curves were developed using digital pressure/flow sensors that were calibrated against primary standards. Battery life was evaluated using a combination of power measurement and run-time tests at flows of 1.0 and 2.0 L/min. Noise levels emitted by the pump were testing using a Larson Davis, Spark Series, 703+ noise dosimeter.
The UPAS was also evaluated relative to two commercial technologies: an equivalent federal reference method (FRM) for PM2.5 monitoring (URG cyclone model URG-2000-30EGN-A; URG Corp., Chapel Hill, NC) and a personal environmental monitor (PEM) for assessing personal exposure to PM2.5 (PEM 761-203; SKC, Inc., Eighty Four, PA). The FRM sampler was operated at 16.7 L/min, per U.S. EPA guidelines, and served as the reference instrument. The UPAS and PEM both operated at 2.0 L/min.
Three groups of samplers (one FRM, UPAS and PEM per group) were co-located in three locations within the aerosol test chamber (nine samplers per test). Aerosols were generated with National Institute of Standards and Technology (NIST) Urban Particulate Matter (Standard Reference Material 1648a) and 6-jet BGI Collison Nebulizer (Mesa Labs). A solution of NIST Urban PM in biological grade reagent water (Lonza Ltd.) was placed in the nebulizer at concentrations ranging from 0.25 mg/mL to 4.0 mg/mL to achieve desired chamber aerosol concentrations. Concentrations were monitored in real-time with a DustTrak DRX (TSI, Inc.), and particle size distribution was monitored with an Aerodynamic Particle Sizer (APS; model 3321, TSI, Inc.).
Six chamber trials were conducted for 8 hr with a seventh trial lasting 16 hr to collect sufficient material for gravimetric analysis at low concentration. Slight adjustments were made during trials to chamber (dilution/exhaust flow) and nebulizer (timed periodic activation with solenoid valve) conditions to achieve a stable aerosol concentrations during tests. A fan mixed the chamber aerosol continuously.
The PEM and UPAS samplers used borosilicate glass fiber filters coated with polytetrafluoroethylene (PTFE; Pallflex Fiberfilm T60A20; Pall Inc., Ann Arbor, MI) for the six 8-hr tests and PTFE filters supported with polymethylpentene rings (Teflo, Pall Inc.) for the single 16-hr test. The URG cyclones used polytetrafluoroethylene filters with support ring (46.2 mm, PM2.5 membrane, 2 μm pore size; Tisch Scientific Inc., North Bend, OH), which meet the requirements for EPA PM2.5 Reference Method under 40 CFR Part 50. The UPAS samplers were fitted with the appropriate PM2.5 cyclone and set to operate at 2.0 L/min. Flow through the PEMs was maintained using commercially available personal sampling pumps (Aircheck XR5000, SKC, Inc.) that were calibrated to 2.0 L/min flow. The PEM impaction ring was greased according to the manufacturer instructions. Pre and post calibrations were performed with the Defender 520 DryCal (Mesa Labs) and Mini-Buck Calibrator (A.P. Buck, Inc.) utilizing custom-made calibration adapters for the URG and UPAS samplers and an SKC calibration adapter for the PEMs.
Measured aerosol concentrations were established for each sampling device using gravimetric analysis. A Mettler Toledo XS3DU microbalance accurate to ±1 μg was used to weigh filters. Filters were placed in an equilibration chamber for at least 12 hr before pre and post weighing and then discharged on a Polonium-210 strip for at least 15 s before each weight was taken. Multiple readings were averaged for each filter weight and blanks were carried for all tests. Data analyses were conducted using Microsoft Excel and Matlab.
Volckens J., Quinn C., Leith D., Mehaffy J., Henry C.S, & Miller‐Lionberg D. (2016). Development and evaluation of an ultrasonic personal aerosol sampler. Indoor Air, 27(2), 409-416.
Publication 2016
3-(2-phenylethyl)-4-methylsydnone 7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Biopharmaceuticals Cyclonic Storms Decompression Sickness Fingers Impacted Tooth Medical Devices Nebulizers Needles Polonium-210 Polytetrafluoroethylene Pressure Technique, Dilution Tissue, Membrane XR 5000
4
Functional Enrichment Analysis of Cell Types
Cited 17 times
To characterize the functions of distinct cell-type populations, we performed gene set enrichment analysis (31 (link),32 (link)) according to the rank of genes based on the fold-change from the differential analysis. We totally collected 16 626 gene-sets for GSEA, including 186 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (33 (link)), 50 hallmark pathways, 10 192 Gene Ontology terms (BP: 7530; CC: 999; MF: 1663), 4872 immunologic signatures, 189 oncogenic signatures and 1137 transcriptional factor targets from the Molecular Signatures Database (MSigDB v7.1; 34 (link)). Significant up-regulated, and down-regulated pathways (FDR ≤ 0.05) in each cluster were identified and visualized to enable the functional enrichment analysis between different clusters. In addition, we also performed functional enrichment analysis of each cell-type between pre- and post-treatment, or responder and non-responder for the datasets with treatment information. Notably, we performed hierarchical clustering on the enriched GO terms due to the high similarity across ontology terms. The term with the longest paths to the root within a GO subtree will be considered as a representative term and labeled in the heatmap (35 (link)). This analysis was fulfilled by GSEA v4.0.3 for Linux, and figures were generated by the ComplexHeatmap R package v1.99.5 (36 (link)). In addition to performing GSEA at the cluster level, we also employed Single-Cell Signature Explorer (37 (link)) to calculate gene-set enrichment scores at the single-cell level. Only the visualizations on hallmark pathways are available in TISCH due to the limited computational resource.
Sun D., Wang J., Han Y., Dong X., Ge J., Zheng R., Shi X., Wang B., Li Z., Ren P., Sun L., Yan Y., Zhang P., Zhang F., Li T, & Wang C. (2020). TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment. Nucleic Acids Research, 49(D1), D1420-D1430.
Publication 2020
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Cells Genes Genome Lanugo Oncogenes Physiology, Cell Plant Roots Population Group Transcription Factor
5
Passive Air Sampling Characterization
Cited 13 times
This study examines a subset of 180 PUF–PAS samples collected
in the metropolitan Chicago area to evaluate the model with active
sampling comparison and characterize the model’s function under
varying meteorological scenarios. The “flying saucer”
PAS sampler design (with a 24 cm top bowl and 19.5 cm bottom bowl)
is based on the “Harner” PUF–PAS Design.3 (link),9 (link),12 (link),14 (link),23 (link)−25 (link) The PUF disk were purchased
from Tisch Environmental (Cleves, OH). Dimensions, 14 cm diameter
× 1.3 cm thick; surface area of 365 cm2; and density
of 0.0236 g cm–3. Samples were collected in approximately
6-week intervals (average of 45 days) from January 2012 to January
2014. All samples were collected in pairs with one sample remaining
at the University of Iowa for analysis, and the other sample being
sent to Indiana University for analysis for a different suite of environmental
contaminants.8 (link) A subset of 10 samples were
analyzed for PCBs at both laboratories.
Prior to deployment of the samplers, the sampling media (PUF disk)
was cleaned with multiple 24 h Soxhlet extractions, dried by low-flow
nitrogen blow-down, wrapped in aluminum foil, and stored in a freezer
until shipment and deployment.30 (link),31 (link) After collection, samples
were wrapped in combusted aluminum foil and shipped back to the University
of Iowa, where they were kept refrigerated at −20 °C until
extraction. The PUF samples were spiked with 50 ng of surrogate standards
(PCB14 (3,5-dichlorobiphenyl), PCB65-d5 (2,3,5,6-tetrachlorabiphenyl-d5,
deuterated), and PCB166 (2,3,4,4′,5,6-hexachlorobiphenyl)),
extracted with a 1:1 hexane:acetone mixture in an accelerated solvent
extractor, cleaned with an acidified silica column, and concentrated
with a Caliper TurboVap II.7 (link),30 (link),32 (link) The samples were then spiked with 50 ng of internal standard (PCB30-d5
(2,4,6-trichlorobiphenyl-2′,3′,4′,5′,6′-d5,
deuterated) and PCB204 (2,2′,3,4,4′,5,6,6′-octachlorobiphenyl))
just prior to analysis by gas chromatography with tandem mass spectrometry
(GC-MS/MS, Agilent 6890N Quattro Micro GC, Waters Micromass MS Technologies)
using a modified EPA method 1668a.33 All
209 PCB congeners were quantified as a collection of 156 individual
or coeluting chromatographic peaks.
Herkert N.J., Martinez A, & Hornbuckle K.C. (2016). A Model Using Local Weather Data to Determine the Effective Sampling Volume for PCB Congeners Collected on Passive Air Samplers. Environmental Science & Technology, 50(13), 6690-6697.
Publication 2016
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Acetone Aluminum Chromatography Cocaine Gas Chromatography-Mass Spectrometry Hexanes Silicon Dioxide Tandem Mass Spectrometry

Most recents protocols related to «7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine»

1
Evaluating CRG_score and Tumor Microenvironment
To evaluate the relationship between the CRG_score and TME, the “CIBERSORT” R package (29 (link)) was used to evaluate the abundance of immune cells infiltrating tumors in high- and low-risk samples. The correlation between the score and infiltrating cell abundance was analyzed using linear analysis and a heatmap. Simultaneously, the immune cells, matrix, and ESTIMATE scores of patients with BC were calculated using the ESTIMATE algorithm. In addition, we analyzed the differences in the expression of immune test genes in the different CRG_score groups.The single-cell tumor microenvironment expression of cuproptosis-related genes in the tumor microenvironment was analyzed using the TISCH database(http://tisch.comp-genomics.org/).
Wang H., Li J., Zi X, & Yuan X. (2023). Comprehensive analysis of cuproptosis-related genes on bladder cancer prognosis, tumor microenvironment invasion, and drug sensitivity. Frontiers in Oncology, 13, 1116305.
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Publication 2023
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine COMP protocol Gene Expression Neoplasms Patients Tumor Microenvironment
2
Prognostic CRGs Modulate TME Subsets
The effect of prognostic CRGs on the expression of single cell subsets in the TME was investigated using TISCH (http://tisch.comp-genomics.org/) (Sun et al., 2021 (link)). TISCH is a scRNA-seq database focused on the TME, providing detailed cell-type annotation at the single-cell level, which is beneficial for exploring the TME in different cancer types. In this dataset, three main cell types are present, such as immune cells, stromal cells, and malignant cells. In this study, the t-distributed stochastic neighborhood embedding (t-SNE) map of LIHC_GSE125449_aPDL1aCTLA4 and the heatmap of LIHC_GSE125449_aPDL1aCTLA4 were displayed through the TISCH database to demonstrate the effect of CRGs on the TME of HCC.
Qin H., Sheng W., Zhang G., Yang Q., Yao S., Yue Y., Zhang P., Zhu Y., Wang Q., Chen Y., Zeng H., Weng J., Yu F, & Yang J. (2023). Comprehensive analysis of cuproptosis-related prognostic gene signature and tumor immune microenvironment in HCC. Frontiers in Genetics, 14, 1094793.
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Publication 2023
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Cells COMP protocol Malignant Neoplasms Single-Cell RNA-Seq Stromal Cells
3
Analytical Methods for Anaerobic Digestion Monitoring
Samples for various chemical analyses
were collected once a week from the influent and the bioreactor content
during the ASBR mixing phase and two to three times a week from the
effluent during the ASBR settling phase. sCOD analyses were conducted
using Lovibond medium-range (0–1500 mg L–1) COD digestion vials (Tintometer, Germany). Carboxylic acids (C2–C8,
including iso-forms of C4 and C5) and ethanol concentrations were
determined by an Agilent Technologies 7890B gas chromatograph (Santa
Clara, CA) equipped with a stabilwax-DA column (Restex) and a flame
ionization detector (GC-FID). The samples for GC-FID and sCOD were
acidified with phosphoric acid and sulfuric acid, respectively, centrifuged,
and filtered through 0.45 μm nylon membrane filters (TISCH Scientific,
North Bend, OH) before analyses. The concentrations of SCCAs and MCCAs
are reported as the sum of undissociated carboxylic acids and dissociated
carboxylates, even though we refer to them by their dissociated carboxylate
names for simplicity. The concentrations of SCCAs (including acetate,
propionate, n-butyrate, and n-valerate) and MCCAs (including caproate,
enanthate, and caprylate) are expressed on a molar basis. To determine
net acetate concentrations, the influent concentrations were subtracted
from the corresponding effluent concentrations. Gas collected in the
Tedlar gas bag was measured daily with a 0.1 L gas-tight glass syringe.
Gas composition (H2, CO2, and CH4) was determined two to three times a week using a Gow-Mac Series
gas chromatography (Bethlehem, PA) equipped with a thermal conductivity
detector. PH2 was calculated by considering the H2 percentages in the gas and assuming that the headspace in the bioreactor
was at atmospheric pressure. Detailed information on both of the gas
chromatographs is given in the SI.
Shrestha S., Xue S, & Raskin L. (2023). Competitive Reactions during Ethanol Chain Elongation Were Temporarily Suppressed by Increasing Hydrogen Partial Pressure through Methanogenesis Inhibition. Environmental Science & Technology, 57(8), 3369-3379.
Publication 2023
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Acetate Atmospheric Pressure Bioreactors Carboxylic Acids Chromatography Decompression Sickness Digestion Ethanol Gas Chromatography Heptanoates hexanoate Molar n-Butyrate Nylons octanoate Phosphoric Acids Propionate Sulfuric Acids Syringes Tissue, Membrane Valerates
4
Integrative Transcriptomic Profiling of Lung Adenocarcinoma
Obtain the FPKM expression matrix for lung adenocarcinoma from the Genomic Data Commons (GDC) repository (https://portal.gdc.cancer.gov/ ). Gene expression profiles of lung adenocarcinoma were queried from the GEO Gene Expression Dataset (https://www.ncbi.nlm.nih.gov/geo/ ) and microarray and high-throughput sequencing transcriptome data GSE42127, GSE72094, GSE26939, GSE31547, GSE19188, GSE14814, GSE37745, GSE5828 (BULK transcriptome data for validation), GSE135222, PRJEB23709, phs000452 (BULK transcriptome data for validation of impact on immunotherapy); we applied a text-mining-based data parsing workflow to collect the TISCH2 database (http://tisch.compgenomics.org/ ) of GSE117570 lung adenocarcinoma single-cell dataset, with all genes expressed in at least 3 cells, at least 200 genes per cell, UMIs retaining reads in the range 500-6500 depending on distribution, and percentage of mitochondrial reads < 80%; single-cell data as UMI transcript matrices as well as cellular information matrices, merged into Seraut objects required for analysis, using LogNormalize to normalise the data and check for batch effects between samples by UMAP and found no significant batch effects between samples.
He N., Xi Y., Yu D., Yu C, & Shen W. (2023). Construction of IL-1 signalling pathway correlation model in lung adenocarcinoma and association with immune microenvironment prognosis and immunotherapy: Multi-data validation. Frontiers in Immunology, 14, 1116789.
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Publication 2023
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5
Single-cell gene expression analysis
The evaluation of specific genes at the single-cell level was conducted based on the Tumor Immune Single-cell Hub website (http://tisch.comp-genomics.org/home/) (18 (link)).
Chen J., Jin H., Zhou H., Hei X, & Liu K. (2023). Research into the characteristic molecules significantly affecting liver cancer immunotherapy. Frontiers in Immunology, 14, 1029427.
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Publication 2023
7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine Cells COMP protocol Genes Neoplasms

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More about "7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine"

7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine is a synthetic compound with potential therapeutic applications.
This heterocyclic molecule contains a benzazepine core and features chloro, hydroxy, iodophenyl, and methyl substituents.
Researchers can utilize PubCompare.ai's AI-driven tools to optimize their work with this compound, including locating protocols from literature, preprints, and patents, and identifying the best methods and products to ensure reproducibility and streamline their research process.
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Additionally, tert-butyl peroxide is a potential oxidative agent that could be used in studies involving this compound.
Researchers can further utilize the HiSeq X Ten sequencing platform and NOD.Cd11c-YFP mouse model to investigate the compound's mechanisms of action and potential therapeutic applications.
The R language 4.0.5 could be employed for bioinformatic analysis and data visualization.
By leveraging PubCompare.ai's AI-driven tools and related technologies, researchers can optimize their workflows, ensure reproducibility, and accelerate their progress in exploring the therapeutic potential of 7-chloro-8-hydroxy-1-(3'-iodophenyl)-3-methyl-2,3,4,5-tetrahydro-1H-3-benzazepine.