Sulfurous acid (BioDeep_00000897188)
Main id: BioDeep_00001871867
代谢物信息卡片
Hydrogen sulfite
化学式: HO3S- (80.96464160000001)
中文名称: 亚硫酸氢盐
谱图信息:
最多检出来源 () 0%
分子结构信息
SMILES: OS(=O)[O-]
InChI: InChI=1S/H2O3S/c1-4(2)3/h(H2,1,2,3)/p-1
数据库引用编号
5 个数据库交叉引用编号
- ChEBI: CHEBI:29214
- ChEBI: CHEBI:17137
- PubChem: 104748
- ChEMBL: CHEMBL1794637
- CAS: 15181-46-1
分类词条
相关代谢途径
Reactome(4)
PlantCyc(0)
代谢反应
71 个相关的代谢反应过程信息。
Reactome(68)
- Metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
1-3-oxo-THA-CoA + CoA-SH ⟶ DHA-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Degradation of cysteine and homocysteine:
3MPYR + MPST ⟶ PYR + Q8I5Y1 - Metabolism:
3alpha,7alpha,12alpha-trihydroxy-5beta-cholest-24-one-CoA + CoA-SH ⟶ choloyl-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
3alpha,7alpha,12alpha-trihydroxy-5beta-cholest-24-one-CoA + CoA-SH ⟶ choloyl-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
1-3-oxo-THA-CoA + CoA-SH ⟶ DHA-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
1-3-oxo-THA-CoA + CoA-SH ⟶ DHA-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
ATP + PROP-CoA + carbon dioxide ⟶ ADP + MEMA-CoA + Pi - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
3alpha,7alpha,12alpha-trihydroxy-5beta-cholest-24-one-CoA + CoA-SH ⟶ choloyl-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
1-3-oxo-THA-CoA + CoA-SH ⟶ DHA-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
3MPYR + MPST ⟶ PYR + Q8I5Y1 - Metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
CAR + propionyl CoA ⟶ CoA-SH + Propionylcarnitine - Amino acid and derivative metabolism:
GAA + SAM ⟶ CRET + H+ + SAH - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
GAA + SAM ⟶ CRET + H+ + SAH - Amino acid and derivative metabolism:
GAA + SAM ⟶ CRET + H+ + SAH - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia - Degradation of cysteine and homocysteine:
H2O + HCYS ⟶ 2OBUTA + H2S + ammonia - Metabolism:
ATP + PROP-CoA + carbon dioxide ⟶ ADP + MEMA-CoA + Pi - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
MTAD + Pi ⟶ Ade + MTRIBP - Degradation of cysteine and homocysteine:
GSH + H+ + S2O3(2-) ⟶ GSSG + H2S + sulfite - Metabolism:
1-3-oxo-THA-CoA + CoA-SH ⟶ DHA-CoA + propionyl CoA - Amino acid and derivative metabolism:
2MACA-CoA + CoA ⟶ Ac-CoA + PROP-CoA - Sulfur amino acid metabolism:
H2O + L-Cystathionine ⟶ 2OBUTA + L-Cys + ammonia
BioCyc(2)
- sulfolactate degradation III:
(R)-cysteate + H2O ⟶ H+ + ammonia + bisulfite + pyruvate - (R)-cysteate degradation:
(R)-cysteate + 2-oxoglutarate ⟶ 3-sulfopyruvate + glt
WikiPathways(0)
Plant Reactome(0)
INOH(0)
PlantCyc(0)
COVID-19 Disease Map(1)
- @COVID-19 Disease
Map["name"]:
2-Methyl-3-acetoacetyl-CoA + Coenzyme A ⟶ Acetyl-CoA + Propanoyl-CoA
PathBank(0)
PharmGKB(0)
0 个相关的物种来源信息
在这里通过桑基图来展示出与当前的这个代谢物在我们的BioDeep知识库中具有相关联信息的其他代谢物。在这里进行关联的信息来源主要有：
- PubMed: 来源于PubMed文献库中的文献信息，我们通过自然语言数据挖掘得到的在同一篇文献中被同时提及的相关代谢物列表，这个列表按照代谢物同时出现的文献数量降序排序，取前10个代谢物作为相关研究中关联性很高的代谢物集合展示在桑基图中。
- NCBI Taxonomy: 通过文献数据挖掘，得到的代谢物物种来源信息关联。这个关联信息同样按照出现的次数降序排序，取前10个代谢物作为高关联度的代谢物集合展示在桑吉图上。
- Chemical Taxonomy: 在物质分类上处于同一个分类集合中的其他代谢物
- Chemical Reaction: 在化学反应过程中，存在为当前代谢物相关联的生化反应过程中的反应底物或者反应产物的关联代谢物信息。
点击图上的相关代谢物的名称，可以跳转到相关代谢物的信息页面。
文献列表
- Fen Wan, Zhuo-Wen Chen, Ting-Ting Xu, Jin-Jie Guan, Xiu-Ming Cui, Chuan-Zhi Kang, Tao Zhou, Cheng-Xiao Wang, Lan-Ping Guo, Ye Yang. Selection and application of aptamers for p-hydroxybenzyl hydrogen sulfite after Gastrodia elata Bl. fumigated with sulfur.
Talanta.
2024 Mar; 269(?):125461. doi:
10.1016/j.talanta.2023.125461. [PMID: 38056416] - Jiamin Weng, Hui Wang, Dayou Cheng, Tianjiao Liu, Deyong Zeng, Cuihong Dai, Chengfei Luo. The Effects of DNA Methylation on Cytoplasmic Male Sterility in Sugar Beet.
International journal of molecular sciences.
2024 Jan; 25(2):. doi:
10.3390/ijms25021118. [PMID: 38256191] - Qianqian Zhang, Xiaohong Tang, Yanjin Wang, Ajuan Song, Xiaopeng Yang, Dan Yin, Zezhi Zhang. A novel colorimetric fluorescent probe for sensing bisulfite detection in plant and zebrafish.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
2024 Jan; 305(?):123559. doi:
10.1016/j.saa.2023.123559. [PMID: 37866263] - Tamara Carrizosa-Molina, Natalia Casillas-Díaz, Iris Pérez-Nadador, Claudia Vales-Villamarín, Miguel Ángel López-Martínez, Rosa Riveiro-Álvarez, Larry Wilhelm, Rita Cervera-Juanes, Carmen Garcés, Alejandro Lomniczi, Leandro Soriano-Guillén. Methylation analysis by targeted bisulfite sequencing in large for gestational age (LGA) newborns: the LARGAN cohort.
Clinical epigenetics.
2023 12; 15(1):191. doi:
10.1186/s13148-023-01612-8. [PMID: 38093359] - Faisal K Algethami, Basant H Koraim, Ehab A Abdelrahman, Yasmeen G Abou El-Reash, Mahmoud S Rizk, Fatehy M Abdel-Haleem. Ionophore-modified polyaniline-based optode for the determination of hydrogen sulfite levels in beverages, wastewater, and soil.
Analytical methods : advancing methods and applications.
2023 11; 15(45):6275-6285. doi:
10.1039/d3ay01320k. [PMID: 37955946] - Meiling Zhang, Ye Xiao, Zhe Jiang, Chengqi Yi. Quantifying m6A and Ψ Modifications in the Transcriptome via Chemical-Assisted Approaches.
Accounts of chemical research.
2023 11; 56(21):2980-2991. doi:
10.1021/acs.accounts.3c00436. [PMID: 37851547] - Kexin Zhang, Xia Feng, Ying Liu, Yajun Yang, Xinyuan Hao, Dongliang Li, Xinchao Wang, Lu Wang. Integrative transcriptome and whole-genome bisulfite sequencing analyses of a temperature-sensitive albino tea plant cultivar.
Physiologia plantarum.
2023 Nov; 175(6):e14064. doi:
10.1111/ppl.14064. [PMID: 38148243] - Ding Luobin, Wang Huajun, L I Yao, L I Jia, L I Ling, Gao Yangping, Guan Jian, Geng Weiqiang. Electroacupuncture stimulating Neixiyan (EX-LE5) and Dubi (ST35) alleviates osteoarthritis in rats induced by anterior cruciate ligament transaction affecting DNA methylation regulated transcription of miR-146a and miR-140-5p.
Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan.
2023 10; 43(5):983-990. doi:
10.19852/j.cnki.jtcm.2023.05.004. [PMID: 37679986] - Meiling Zhang, Zhe Jiang, Yichen Ma, Wenqing Liu, Yuan Zhuang, Bo Lu, Kai Li, Jinying Peng, Chengqi Yi. Quantitative profiling of pseudouridylation landscape in the human transcriptome.
Nature chemical biology.
2023 Mar; ?(?):. doi:
10.1038/s41589-023-01304-7. [PMID: 36997645] - Yi Long Lin, Zong Xian Zhu, Chun Hui Ai, Ying Ying Xiong, Tong De Liu, Hao Ran Lin, Jun Hong Xia. Transcriptome and DNA Methylation Responses in the Liver of Yellowfin Seabream Under Starvation Stress.
Marine biotechnology (New York, N.Y.).
2023 Feb; 25(1):150-160. doi:
10.1007/s10126-022-10188-y. [PMID: 36445545] - Ping Guo, Hailing Zheng, Yihan Li, Yuntong Li, Yue Xiao, Jin Zheng, Xingqiang Zhu, Huan Xu, Zhi He, Qian Zhang, Jinchun Chen, Mingshan Qiu, Min Jiang, Pingguo Liu, Hongliang Chen. Hepatocellular carcinoma detection via targeted enzymatic methyl sequencing of plasma cell-free DNA.
Clinical epigenetics.
2023 01; 15(1):2. doi:
10.1186/s13148-022-01420-6. [PMID: 36600275] - Wendell Jacinto Pereira, Marília de Castro Rodrigues Pappas, Georgios Joannis Pappas. Computational Protocol for DNA Methylation Profiling in Plants Using Restriction Enzyme-Based Genome Reduction.
Methods in molecular biology (Clifton, N.J.).
2023; 2638(?):23-36. doi:
10.1007/978-1-0716-3024-2_3. [PMID: 36781633] - A Niloya Troyee, Cristian Peña-Ponton, Mónica Medrano, Koen J F Verhoeven, Conchita Alonso. Herbivory induced methylation changes in the Lombardy poplar: A comparison of results obtained by epiGBS and WGBS.
PloS one.
2023; 18(9):e0291202. doi:
10.1371/journal.pone.0291202. [PMID: 37682835] - Lulin Peng, Maohua Yang, Mei Zhang, Mingyan Jia. A ratiometric fluorescent sensor based on carbon dots for rapid determination of bisulfite in sugar.
Food chemistry.
2022 Oct; 392(?):133265. doi:
10.1016/j.foodchem.2022.133265. [PMID: 35640425] - Fleur Gawehns, Maarten Postuma, Morgane van Antro, Adam Nunn, Bernice Sepers, Samar Fatma, Thomas P van Gurp, Niels C A M Wagemaker, A Christa Mateman, Slavica Milanovic-Ivanovic, Ivo Groβe, Kees van Oers, Philippine Vergeer, Koen J F Verhoeven. epiGBS2: Improvements and evaluation of highly multiplexed, epiGBS-based reduced representation bisulfite sequencing.
Molecular ecology resources.
2022 Jul; 22(5):2087-2104. doi:
10.1111/1755-0998.13597. [PMID: 35178872] - Adam Nunn, Christian Otto, Mario Fasold, Peter F Stadler, David Langenberger. Manipulating base quality scores enables variant calling from bisulfite sequencing alignments using conventional bayesian approaches.
BMC genomics.
2022 Jun; 23(1):477. doi:
10.1186/s12864-022-08691-6. [PMID: 35764934] - Julien Guemri, Morgane Pierre-Jean, Solène Brohard, Nouara Oussada, Caroline Horgues, Eric Bonnet, Florence Mauger, Jean-François Deleuze. Methylated ccfDNA from plasma biomarkers of Alzheimer's disease using targeted bisulfite sequencing.
Epigenomics.
2022 04; 14(8):451-468. doi:
10.2217/epi-2021-0491. [PMID: 35416052] - Cengiz Kaya, Muhammad Ashraf. Sodium hydrosulfite together with silicon detoxifies arsenic toxicity in tomato plants by modulating the AsA-GSH cycle.
Environmental pollution (Barking, Essex : 1987).
2022 Feb; 294(?):118608. doi:
10.1016/j.envpol.2021.118608. [PMID: 34861334] - HueyTyng Lee. Analysis of Bisulfite Sequencing Data Using Bismark and DMRcaller to Identify Differentially Methylated Regions.
Methods in molecular biology (Clifton, N.J.).
2022; 2443(?):451-463. doi:
10.1007/978-1-0716-2067-0_23. [PMID: 35037220] - Jialong Liang, Kun Zhang, Jie Yang, Xianfeng Li, Qinglan Li, Yan Wang, Wanshi Cai, Huajing Teng, Zhongsheng Sun. A new approach to decode DNA methylome and genomic variants simultaneously from double strand bisulfite sequencing.
Briefings in bioinformatics.
2021 11; 22(6):. doi:
10.1093/bib/bbab201. [PMID: 34058751] - Peng Ni, Neng Huang, Fan Nie, Jun Zhang, Zhi Zhang, Bo Wu, Lu Bai, Wende Liu, Chuan-Le Xiao, Feng Luo, Jianxin Wang. Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning.
Nature communications.
2021 10; 12(1):5976. doi:
10.1038/s41467-021-26278-9. [PMID: 34645826] - Fatemeh Ravanrouy, Ali Niazi, Ali Moghadam, Seyed Mohsen Taghavi. MAP30 transgenic tobacco lines: from silencing to inducing.
Molecular biology reports.
2021 Oct; 48(10):6719-6728. doi:
10.1007/s11033-021-06662-w. [PMID: 34420140] - Adam Nunn, Christian Otto, Peter F Stadler, David Langenberger. Comprehensive benchmarking of software for mapping whole genome bisulfite data: from read alignment to DNA methylation analysis.
Briefings in bioinformatics.
2021 09; 22(5):. doi:
10.1093/bib/bbab021. [PMID: 33624017] - Su Kah Goh, Daniel R A Cox, Boris Ka Leong Wong, Ashan Musafer, Tom Witkowski, Hongdo Do, Vijayaragavan Muralidharan, Alexander Dobrovic. A Synthetic DNA Construct to Evaluate the Recovery Efficiency of Cell-Free DNA Extraction and Bisulfite Modification.
Clinical chemistry.
2021 09; 67(9):1201-1209. doi:
10.1093/clinchem/hvab095. [PMID: 34151944] - Liangqiang Wu, Shaolong Qi, Yan Liu, Xinyu Wang, Lubao Zhu, Qingbiao Yang, Jianshi Du, Hai Xu, Yaoxian Li. A novel ratiometric fluorescent probe for differential detection of HSO3- and ClO- and application in cell imaging and tumor recognition.
Analytical and bioanalytical chemistry.
2021 Feb; 413(4):1137-1148. doi:
10.1007/s00216-020-03077-7. [PMID: 33404747] - Hideki Ohmomo, Shohei Komaki, Kanako Ono, Yoichi Sutoh, Tsuyoshi Hachiya, Eri Arai, Hiroyuki Fujimoto, Teruhiko Yoshida, Yae Kanai, Makoto Sasaki, Atsushi Shimizu. Evaluation of clinical formalin-fixed paraffin-embedded tissue quality for targeted-bisulfite sequencing.
Pathology international.
2021 Feb; 71(2):135-140. doi:
10.1111/pin.13054. [PMID: 33333623] - Ruben Van Paemel, Andries De Koker, Charlotte Vandeputte, Lieke van Zogchel, Tim Lammens, Geneviève Laureys, Jo Vandesompele, Gudrun Schleiermacher, Mathieu Chicard, Nadine Van Roy, Ales Vicha, G A M Tytgat, Nico Callewaert, Katleen De Preter, Bram De Wilde. Minimally invasive classification of paediatric solid tumours using reduced representation bisulphite sequencing of cell-free DNA: a proof-of-principle study.
Epigenetics.
2021 Jan; 16(2):196-208. doi:
10.1080/15592294.2020.1790950. [PMID: 32662719] - Pengfei Gong, Yang Jing, Yumeng Liu, Lijian Wang, Chunyan Wu, Zhiqiang Du, Hui Li. Whole-genome bisulfite sequencing of abdominal adipose reveals DNA methylation pattern variations in broiler lines divergently selected for fatness.
Journal of animal science.
2021 Jan; 99(1):. doi:
10.1093/jas/skaa408. [PMID: 33373456] - Marco Catoni, Nicolae Radu Zabet. Analysis of Plant DNA Methylation Profiles Using R.
Methods in molecular biology (Clifton, N.J.).
2021; 2250(?):219-238. doi:
10.1007/978-1-0716-1134-0_21. [PMID: 33900608] - Ehsan Khodadadi, Leila Fahmideh, Ehsaneh Khodadadi, Sounkalo Dao, Mehdi Yousefi, Sepehr Taghizadeh, Mohammad Asgharzadeh, Bahman Yousefi, Hossein Samadi Kafil. Current Advances in DNA Methylation Analysis Methods.
BioMed research international.
2021; 2021(?):8827516. doi:
10.1155/2021/8827516. [PMID: 33824878] - Trung Viet Nguyen, Ryan Lister. Genomic Targeting of TET Activity for Targeted Demethylation Using CRISPR/Cas9.
Methods in molecular biology (Clifton, N.J.).
2021; 2272(?):181-194. doi:
10.1007/978-1-0716-1294-1_10. [PMID: 34009614] - Ye-Hao Yan, Xiao-Ling Cui, Zhang-Yi Li, Man-Man Ding, Qiao-Ling Che, Jun-Ying Miao, Bao-Xiang Zhao, Zhao-Min Lin. A synergetic FRET/ICT platform-based fluorescence probe for ratiometric imaging of bisulfite in lipid droplets.
Analytica chimica acta.
2020 Nov; 1137(?):47-55. doi:
10.1016/j.aca.2020.09.002. [PMID: 33153608] - Marta Malinowska, Istvan Nagy, Cornelis A M Wagemaker, Anja K Ruud, Simon F Svane, Kristian Thorup-Kristensen, Christian S Jensen, Birger Eriksen, Lene Krusell, Ahmed Jahoor, Jens Jensen, Lars Bonde Eriksen, Torben Asp. The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth.
The plant genome.
2020 11; 13(3):e20049. doi:
10.1002/tpg2.20049. [PMID: 33217208] - D A Moser, S Müller, E M Hummel, A S Limberg, L Dieckmann, L Frach, J Pakusch, V Flasbeck, M Brüne, J Beygo, L Klein-Hitpass, R Kumsta. Targeted bisulfite sequencing: A novel tool for the assessment of DNA methylation with high sensitivity and increased coverage.
Psychoneuroendocrinology.
2020 10; 120(?):104784. doi:
10.1016/j.psyneuen.2020.104784. [PMID: 32673938] - Mohan Singh Rajkumar, Rama Shankar, Rohini Garg, Mukesh Jain. Bisulphite sequencing reveals dynamic DNA methylation under desiccation and salinity stresses in rice cultivars.
Genomics.
2020 09; 112(5):3537-3548. doi:
10.1016/j.ygeno.2020.04.005. [PMID: 32278023] - Guiqiao Wang, Weiye Shi, Defang Ma, Baoyu Gao. Impacts of permanganate/bisulfite pre-oxidation on DBP formation during the post chlorine disinfection of ciprofloxacin-contaminated waters.
The Science of the total environment.
2020 Aug; 731(?):138755. doi:
10.1016/j.scitotenv.2020.138755. [PMID: 32402911] - Yadollah Shahryary, Rashmi R Hazarika, Frank Johannes. MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data.
BMC genomics.
2020 Jul; 21(1):479. doi:
10.1186/s12864-020-06886-3. [PMID: 32660416] - Sarah Ø Jensen, Nadia Øgaard, Hans Jørgen Nielsen, Jesper B Bramsen, Claus L Andersen. Enhanced Performance of DNA Methylation Markers by Simultaneous Measurement of Sense and Antisense DNA Strands after Cytosine Conversion.
Clinical chemistry.
2020 07; 66(7):925-933. doi:
10.1093/clinchem/hvaa100. [PMID: 32460325] - Nowlan H Freese, Elise L Schnabel, Julia A Frugoli. Whole genome bisulfite sequencing of Medicago truncatula A17 wild type and lss mutants.
BMC research notes.
2020 Mar; 13(1):192. doi:
10.1186/s13104-020-05012-6. [PMID: 32234059] - Qiang Li, Jiaojiao Nie, Yaming Shan, Yuan Li, Jianshi Du, Lubao Zhu, Qingbiao Yang, Fuquan Bai. Water-soluble fluorescent probe for simultaneous detection of cyanide, hypochlorite and bisulfite at different emission wavelengths.
Analytical biochemistry.
2020 02; 591(?):113539. doi:
10.1016/j.ab.2019.113539. [PMID: 31837297] - Ying Shen, Wei Cong, Ai-Hua Zhang, Xiangcai Meng. Complexity of active medicinal ingredients in radix scutellariae with sodium hydrosulfite exposure.
PloS one.
2020; 15(9):e0238927. doi:
10.1371/journal.pone.0238927. [PMID: 32956425] - Martin Schmidt, Magdalena Woloszynska, Michiel Van Bel, Frederik Coppens, Mieke Van Lijsebettens. Plant-RRBS: DNA Methylome Profiling Adjusted to Plant Genomes, Utilizing Efficient Endonuclease Combinations, for Multi-Sample Studies.
Methods in molecular biology (Clifton, N.J.).
2020; 2093(?):65-80. doi:
10.1007/978-1-0716-0179-2_5. [PMID: 32088889] - M Teresa Boquete, Niels C A M Wagemaker, Philippine Vergeer, Jeannie Mounger, Christina L Richards. Epigenetic Approaches in Non-Model Plants.
Methods in molecular biology (Clifton, N.J.).
2020; 2093(?):203-215. doi:
10.1007/978-1-0716-0179-2_14. [PMID: 32088898] - Khushboo Gupta, Rohini Garg. Method for Bisulfite Sequencing Data Analysis for Whole-Genome Level DNA Methylation Detection in Legumes.
Methods in molecular biology (Clifton, N.J.).
2020; 2107(?):127-145. doi:
10.1007/978-1-0716-0235-5_6. [PMID: 31893445] - Wendell Jacinto Pereira, Marília de Castro Rodrigues Pappas, Dario Grattapaglia, Georgios Joannis Pappas. A cost-effective approach to DNA methylation detection by Methyl Sensitive DArT sequencing.
PloS one.
2020; 15(6):e0233800. doi:
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