Molecule Information
General Information of the Molecule (ID: Mol04396)
| Name |
Transmembrane protein 94 (TMEM94)
,Homo sapiens
|
||||
|---|---|---|---|---|---|
| Synonyms |
Endoplasmic reticulum magnesium ATPase
Click to Show/Hide
|
||||
| Molecule Type |
Protein
|
||||
| Gene Name |
TMEM94
|
||||
| Gene ID | |||||
| Sequence |
MDLKEKHLGEPPSALGLSTRKALSVLKEQLEAVLEGHLRERKKCLTWKEVWRSSFLHHSN
RCSCFHWPGASLMLLAVLLLLGCCGGQPAGSRGVGLVNASALFLLLLLNLVLIGRQDRL K RREVERRLRGIIDQIQDALRDGREIQWPSAMYPDLHMPFAPSWSLHWAYRDGHLVNLP VS LLVEGDIIALRPGQESFASLRGIKDDEHIVLEPGDLFPPFSPPPSPRGEVERGPQSP QQH RLFRVLETPVIDNIRWCLDMALSRPVTALDNERFTVQSVMLHYAVPVVLAGFLITN ALRF IFSAPGVTSWQYTLLQLQVNGVLPILPLLFPVLWVLATACGEARVLAQMSKASPS SLLAK FSEDTLSSYTEAVSSQEMLRCIWGHFLRVLGGTSPTLSHSSSLLHSLGSVTVLC CVDKQG ILSWPNPSPETVLFFSGKVEPPHSSHEDLTDGLSTRSFCHPEPHERDALLAGS LNNTLHL SNEQERGDWPGEAPKPPEPYSHHKAHGRSKHPSGSNVSFSRDTEGGEEEPSK TQPGMESD PYEAEDFVCDYHLEMLSLSQDQQNPSCIQFDDSNWQLHLTSLKPLGLNVLL NLCDASVTE RLCRFSDHLCNIALQESHSAVLPVHVPWGLCELARLIGFTPGAKELFKQE NHLALYRLPS AETMKETSLGRLSCVTKRRPPLSHMISLFIKDTTTSTEQMLSHGTADVV LEACTDFWDGA DIYPLSGSDRKKVLDFYQRACLSGYCSAFAYKPMNCALSSQLNGKCIE LVQVPGQSSIFT MCELPSTIPIKQNARRSSWSSDEGIGEVLEKEDCMQALSGQIFMGMV SSQYQARLDIVRL IDGLVNACIRFVYFSLEDELKSKVFAEKMGLETGWNCHISLTPNGD MPGSEIPPSSPSHA GSLHDDLNQVSRDDAEGLLLMEEEGHSDLISFQPTDSDIPSFLED SNRAKLPRGIHQVRP HLQNIDNVPLLVPLFTDCTPETMCEMIKIMQEYGEVTCCLGSSA NLRNSCLFLQSDISIA LDPLYPSRCSWETFGYATSISMAQASDGLSPLQLSGQLNSLPC SLTFRQEETISIIRLIE QARHATYGIRKCFLFLLQCQLTLVVIQFLSCLVQLPPLLSTT DILWLSCFCYPLLSISLL GKPPHSSIMSMATGKNLQSIPKKTQHYFLLCFLLKFSLTIS SCLICFGFTLQSFCDSSRD RNLTNCSSVMLPSNDDRAPAWFEDFANGLLSAQKLTAALI VLHTVFISITHVHRTKPLWR KSPLTNLWWAVTVPVVLLGQVVQTAVDLQLWTHRDSHVH FGLEDVPLLTWLLGCLSLVLV VVTNEIVKLHEIRVRVRYQKRQKLQFETKLGMNSPF Click to Show/Hide
|
||||
| Function |
Could function in the uptake of Mg from the cytosol intothe endoplasmic reticulum and regulate intracellular Mghomeostasis. {ECO:0000269|PubMed:38513662}.
Click to Show/Hide
|
||||
| Uniprot ID | |||||
| Ensembl ID | |||||
| HGNC ID | |||||
| Click to Show/Hide the Complete Species Lineage | |||||
Type(s) of Resistant Mechanism of This Molecule
Drug Resistance Data Categorized by Drug
Approved Drug(s)
5 drug(s) in total
| Drug Sensitivity Data Categorized by Their Corresponding Mechanisms | ||||
|
|
||||
| Disease Class: Staphylococcus aureus infection [ICD-11: 1B54.0] | [1] | |||
| Sensitive Disease | Staphylococcus aureus infection [ICD-11: 1B54.0] | |||
| Sensitive Drug | Doxorubicin | |||
| Molecule Alteration | Methylation | Down-regulation |
||
| Experimental Note | Revealed Based on the Cell Line Data | |||
| In Vitro Model | S. aureus isolates | 41687 | ||
| Experiment for Molecule Alteration |
PCR; Docking assay | |||
| Experiment for Drug Resistance |
Antimicrobial susceptibility testing; Phenotypic assay; MIC assay; Checkerboard microdilution assay | |||
| Mechanism Description | This study aimed to identify the prevalence of erythromycin and erythromycin-induced resistance and assess for potential inhibitors. A total of 99 isolates were purified from various clinical sources. Phenotypic detection of macrolide-lincosamide-streptogramin B (MLSB)-resistance phenotypes was performed by D-test. MLSB-resistance genes were identified using PCR. Different compounds were tested for their effects on erythromycin and inducible clindamycin resistance by broth microdilution and checkerboard microdilution methods. The obtained data were evaluated using docking analysis. Ninety-one isolates were S. aureus. The prevalence of constitutive MLSB, inducible MLSB, and macrolide-streptogramin (MS) phenotypes was 39.6%, 14.3%, and 2.2%, respectively. Genes including ermC, ermA, ermB, msrA, msrB, lnuA, and mphC were found in 82.6%, 5.8%, 7.7%, 3.8%, 3.8%, 13.5%, and 3.8% of isolates, respectively. Erythromycin resistance was significantly reduced by doxorubicin, neomycin, and omeprazole. Quinine, ketoprofen, and fosfomycin combated and reversed erythromycin/clindamycin-induced resistance. This study highlighted the significance of managing antibiotic resistance and overcoming clindamycin treatment failure. Doxorubicin, neomycin, omeprazole, quinine, ketoprofen, and fosfomycin could be potential inhibitors of erythromycin and inducible clindamycin resistance. | |||
| Drug Sensitivity Data Categorized by Their Corresponding Mechanisms | ||||
|
|
||||
| Disease Class: Staphylococcus aureus infection [ICD-11: 1B54.0] | [1] | |||
| Sensitive Disease | Staphylococcus aureus infection [ICD-11: 1B54.0] | |||
| Sensitive Drug | Fosfomycin | |||
| Molecule Alteration | Methylation | Down-regulation |
||
| Experimental Note | Revealed Based on the Cell Line Data | |||
| In Vitro Model | S. aureus isolates | 41687 | ||
| Experiment for Molecule Alteration |
PCR; Docking assay | |||
| Experiment for Drug Resistance |
Antimicrobial susceptibility testing; Phenotypic assay; MIC assay; Checkerboard microdilution assay | |||
| Mechanism Description | This study aimed to identify the prevalence of erythromycin and erythromycin-induced resistance and assess for potential inhibitors. A total of 99 isolates were purified from various clinical sources. Phenotypic detection of macrolide-lincosamide-streptogramin B (MLSB)-resistance phenotypes was performed by D-test. MLSB-resistance genes were identified using PCR. Different compounds were tested for their effects on erythromycin and inducible clindamycin resistance by broth microdilution and checkerboard microdilution methods. The obtained data were evaluated using docking analysis. Ninety-one isolates were S. aureus. The prevalence of constitutive MLSB, inducible MLSB, and macrolide-streptogramin (MS) phenotypes was 39.6%, 14.3%, and 2.2%, respectively. Genes including ermC, ermA, ermB, msrA, msrB, lnuA, and mphC were found in 82.6%, 5.8%, 7.7%, 3.8%, 3.8%, 13.5%, and 3.8% of isolates, respectively. Erythromycin resistance was significantly reduced by doxorubicin, neomycin, and omeprazole. Quinine, ketoprofen, and fosfomycin combated and reversed erythromycin/clindamycin-induced resistance. This study highlighted the significance of managing antibiotic resistance and overcoming clindamycin treatment failure. Doxorubicin, neomycin, omeprazole, quinine, ketoprofen, and fosfomycin could be potential inhibitors of erythromycin and inducible clindamycin resistance. | |||
| Drug Sensitivity Data Categorized by Their Corresponding Mechanisms | ||||
|
|
||||
| Disease Class: Staphylococcus aureus infection [ICD-11: 1B54.0] | [1] | |||
| Sensitive Disease | Staphylococcus aureus infection [ICD-11: 1B54.0] | |||
| Sensitive Drug | Framycetin | |||
| Molecule Alteration | Methylation | Down-regulation |
||
| Experimental Note | Revealed Based on the Cell Line Data | |||
| In Vitro Model | S. aureus isolates | 41687 | ||
| Experiment for Molecule Alteration |
PCR; Docking assay | |||
| Experiment for Drug Resistance |
Antimicrobial susceptibility testing; Phenotypic assay; MIC assay; Checkerboard microdilution assay | |||
| Mechanism Description | This study aimed to identify the prevalence of erythromycin and erythromycin-induced resistance and assess for potential inhibitors. A total of 99 isolates were purified from various clinical sources. Phenotypic detection of macrolide-lincosamide-streptogramin B (MLSB)-resistance phenotypes was performed by D-test. MLSB-resistance genes were identified using PCR. Different compounds were tested for their effects on erythromycin and inducible clindamycin resistance by broth microdilution and checkerboard microdilution methods. The obtained data were evaluated using docking analysis. Ninety-one isolates were S. aureus. The prevalence of constitutive MLSB, inducible MLSB, and macrolide-streptogramin (MS) phenotypes was 39.6%, 14.3%, and 2.2%, respectively. Genes including ermC, ermA, ermB, msrA, msrB, lnuA, and mphC were found in 82.6%, 5.8%, 7.7%, 3.8%, 3.8%, 13.5%, and 3.8% of isolates, respectively. Erythromycin resistance was significantly reduced by doxorubicin, neomycin, and omeprazole. Quinine, ketoprofen, and fosfomycin combated and reversed erythromycin/clindamycin-induced resistance. This study highlighted the significance of managing antibiotic resistance and overcoming clindamycin treatment failure. Doxorubicin, neomycin, omeprazole, quinine, ketoprofen, and fosfomycin could be potential inhibitors of erythromycin and inducible clindamycin resistance. | |||
| Drug Sensitivity Data Categorized by Their Corresponding Mechanisms | ||||
|
|
||||
| Disease Class: Staphylococcus aureus infection [ICD-11: 1B54.0] | [1] | |||
| Sensitive Disease | Staphylococcus aureus infection [ICD-11: 1B54.0] | |||
| Sensitive Drug | Ketoprofen | |||
| Molecule Alteration | Methylation | Down-regulation |
||
| Experimental Note | Revealed Based on the Cell Line Data | |||
| In Vitro Model | S. aureus isolates | 41687 | ||
| Experiment for Molecule Alteration |
PCR; Docking assay | |||
| Experiment for Drug Resistance |
Antimicrobial susceptibility testing; Phenotypic assay; MIC assay; Checkerboard microdilution assay | |||
| Mechanism Description | This study aimed to identify the prevalence of erythromycin and erythromycin-induced resistance and assess for potential inhibitors. A total of 99 isolates were purified from various clinical sources. Phenotypic detection of macrolide-lincosamide-streptogramin B (MLSB)-resistance phenotypes was performed by D-test. MLSB-resistance genes were identified using PCR. Different compounds were tested for their effects on erythromycin and inducible clindamycin resistance by broth microdilution and checkerboard microdilution methods. The obtained data were evaluated using docking analysis. Ninety-one isolates were S. aureus. The prevalence of constitutive MLSB, inducible MLSB, and macrolide-streptogramin (MS) phenotypes was 39.6%, 14.3%, and 2.2%, respectively. Genes including ermC, ermA, ermB, msrA, msrB, lnuA, and mphC were found in 82.6%, 5.8%, 7.7%, 3.8%, 3.8%, 13.5%, and 3.8% of isolates, respectively. Erythromycin resistance was significantly reduced by doxorubicin, neomycin, and omeprazole. Quinine, ketoprofen, and fosfomycin combated and reversed erythromycin/clindamycin-induced resistance. This study highlighted the significance of managing antibiotic resistance and overcoming clindamycin treatment failure. Doxorubicin, neomycin, omeprazole, quinine, ketoprofen, and fosfomycin could be potential inhibitors of erythromycin and inducible clindamycin resistance. | |||
| Drug Sensitivity Data Categorized by Their Corresponding Mechanisms | ||||
|
|
||||
| Disease Class: Staphylococcus aureus infection [ICD-11: 1B54.0] | [1] | |||
| Sensitive Disease | Staphylococcus aureus infection [ICD-11: 1B54.0] | |||
| Sensitive Drug | Quinine | |||
| Molecule Alteration | Methylation | Down-regulation |
||
| Experimental Note | Revealed Based on the Cell Line Data | |||
| In Vitro Model | S. aureus isolates | 41687 | ||
| Experiment for Molecule Alteration |
PCR; Docking assay | |||
| Experiment for Drug Resistance |
Antimicrobial susceptibility testing; Phenotypic assay; MIC assay; Checkerboard microdilution assay | |||
| Mechanism Description | This study aimed to identify the prevalence of erythromycin and erythromycin-induced resistance and assess for potential inhibitors. A total of 99 isolates were purified from various clinical sources. Phenotypic detection of macrolide-lincosamide-streptogramin B (MLSB)-resistance phenotypes was performed by D-test. MLSB-resistance genes were identified using PCR. Different compounds were tested for their effects on erythromycin and inducible clindamycin resistance by broth microdilution and checkerboard microdilution methods. The obtained data were evaluated using docking analysis. Ninety-one isolates were S. aureus. The prevalence of constitutive MLSB, inducible MLSB, and macrolide-streptogramin (MS) phenotypes was 39.6%, 14.3%, and 2.2%, respectively. Genes including ermC, ermA, ermB, msrA, msrB, lnuA, and mphC were found in 82.6%, 5.8%, 7.7%, 3.8%, 3.8%, 13.5%, and 3.8% of isolates, respectively. Erythromycin resistance was significantly reduced by doxorubicin, neomycin, and omeprazole. Quinine, ketoprofen, and fosfomycin combated and reversed erythromycin/clindamycin-induced resistance. This study highlighted the significance of managing antibiotic resistance and overcoming clindamycin treatment failure. Doxorubicin, neomycin, omeprazole, quinine, ketoprofen, and fosfomycin could be potential inhibitors of erythromycin and inducible clindamycin resistance. | |||
References
If you find any error in data or bug in web service, please kindly report it to Dr. Sun and Dr. Yu.
