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Page 1
Showing results for ruling tong
Search for Ruqing Tong instead (1 results)
Genotype and phenotype correlations in 441 patients with epidermolysis bullosa from China.
Chen F, Wei R, Deng D, Zhang X, Cao Y, Pan C, Wang Y, Cao Q, Wang J, Zeng M, Huang L, Gu Y, Yao Z, Li M. Chen F, et al. J Eur Acad Dermatol Venereol. 2023 Feb;37(2):411-419. doi: 10.1111/jdv.18692. Epub 2022 Nov 5. J Eur Acad Dermatol Venereol. 2023. PMID: 36287101
The rare subtype, dominant and recessive compound DEB, consists of 1.8% of the total DEB. CONCLUSIONS: This study reveals the general rules governing genotype-phenotype correlations, rare phenotypes and complex genotypes. ...
The rare subtype, dominant and recessive compound DEB, consists of 1.8% of the total DEB. CONCLUSIONS: This study reveals the general rul …
Effective strategies for childhood obesity prevention via school based, family involved interventions: a critical review for the development of the Feel4Diabetes-study school based component.
Lambrinou CP, Androutsos O, Karaglani E, Cardon G, Huys N, Wikström K, Kivelä J, Ko W, Karuranga E, Tsochev K, Iotova V, Dimova R, De Miguel-Etayo P, M González-Gil E, Tamás H, Jancsó Z, Liatis S, Makrilakis K, Manios Y; Feel4Diabetes-study group. Lambrinou CP, et al. BMC Endocr Disord. 2020 May 6;20(Suppl 2):52. doi: 10.1186/s12902-020-0526-5. BMC Endocr Disord. 2020. PMID: 32370795 Free PMC article. Review.
Strategies implemented in effective interventions were: teachers acting as role-models and being actively involved in the delivery of the intervention, school policies supporting the availability of healthy food and beverage choices and limiting unhealthy snacks, changes in the s …
Strategies implemented in effective interventions were: teachers acting as role-models and being actively involved in the delivery of the in …
Apoptotic cell death in disease-Current understanding of the NCCD 2023.
Vitale I, Pietrocola F, Guilbaud E, Aaronson SA, Abrams JM, Adam D, Agostini M, Agostinis P, Alnemri ES, Altucci L, Amelio I, Andrews DW, Aqeilan RI, Arama E, Baehrecke EH, Balachandran S, Bano D, Barlev NA, Bartek J, Bazan NG, Becker C, Bernassola F, Bertrand MJM, Bianchi ME, Blagosklonny MV, Blander JM, Blandino G, Blomgren K, Borner C, Bortner CD, Bove P, Boya P, Brenner C, Broz P, Brunner T, Damgaard RB, Calin GA, Campanella M, Candi E, Carbone M, Carmona-Gutierrez D, Cecconi F, Chan FK, Chen GQ, Chen Q, Chen YH, Cheng EH, Chipuk JE, Cidlowski JA, Ciechanover A, Ciliberto G, Conrad M, Cubillos-Ruiz JR, Czabotar PE, D'Angiolella V, Daugaard M, Dawson TM, Dawson VL, De Maria R, De Strooper B, Debatin KM, Deberardinis RJ, Degterev A, Del Sal G, Deshmukh M, Di Virgilio F, Diederich M, Dixon SJ, Dynlacht BD, El-Deiry WS, Elrod JW, Engeland K, Fimia GM, Galassi C, Ganini C, Garcia-Saez AJ, Garg AD, Garrido C, Gavathiotis E, Gerlic M, Ghosh S, Green DR, Greene LA, Gronemeyer H, Häcker G, Hajnóczky G, Hardwick JM, Haupt Y, He S, Heery DM, Hengartner MO, Hetz C, Hildeman DA, Ichijo H, Inoue S, Jäättelä M, Janic A, Joseph B, Jost PJ, Kanneganti TD, Karin M, Kashkar H, Kaufmann T, Kelly … See abstract for full author list ➔ Vitale I, et al. Cell Death Differ. 2023 May;30(5):1097-1154. doi: 10.1038/s41418-023-01153-w. Epub 2023 Apr 26. Cell Death Differ. 2023. PMID: 37100955 Free article. Review.
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.
Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, Abeliovich H, Abildgaard MH, Abudu YP, Acevedo-Arozena A, Adamopoulos IE, Adeli K, Adolph TE, Adornetto A, Aflaki E, Agam G, Agarwal A, Aggarwal BB, Agnello M, Agostinis P, Agrewala JN, Agrotis A, Aguilar PV, Ahmad ST, Ahmed ZM, Ahumada-Castro U, Aits S, Aizawa S, Akkoc Y, Akoumianaki T, Akpinar HA, Al-Abd AM, Al-Akra L, Al-Gharaibeh A, Alaoui-Jamali MA, Alberti S, Alcocer-Gómez E, Alessandri C, Ali M, Alim Al-Bari MA, Aliwaini S, Alizadeh J, Almacellas E, Almasan A, Alonso A, Alonso GD, Altan-Bonnet N, Altieri DC, Álvarez ÉMC, Alves S, Alves da Costa C, Alzaharna MM, Amadio M, Amantini C, Amaral C, Ambrosio S, Amer AO, Ammanathan V, An Z, Andersen SU, Andrabi SA, Andrade-Silva M, Andres AM, Angelini S, Ann D, Anozie UC, Ansari MY, Antas P, Antebi A, Antón Z, Anwar T, Apetoh L, Apostolova N, Araki T, Araki Y, Arasaki K, Araújo WL, Araya J, Arden C, Arévalo MA, Arguelles S, Arias E, Arikkath J, Arimoto H, Ariosa AR, Armstrong-James D, Arnauné-Pelloquin L, Aroca A, Arroyo DS, Arsov I, Artero R, Asaro DML, Aschner M, Ashrafizadeh M, Ashur-Fabian O, Atanasov AG, Au AK, Auberger P, Auner HW, Aurelian L, Autelli R… See abstract for full author list ➔ Klionsky DJ, et al. Autophagy. 2021 Jan;17(1):1-382. doi: 10.1080/15548627.2020.1797280. Epub 2021 Feb 8. Autophagy. 2021. PMID: 33634751 Free PMC article.
Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be …
Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for r …
Using Machine Learning Methods to Study Colorectal Cancer Tumor Micro-Environment and Its Biomarkers.
Wei W, Li Y, Huang T. Wei W, et al. Int J Mol Sci. 2023 Jul 6;24(13):11133. doi: 10.3390/ijms241311133. Int J Mol Sci. 2023. PMID: 37446311 Free PMC article.
Through interpretable machine learning (IML), co-predictive networks were generated to identify rules and uncover underlying relationships among the selected genes. ...
Through interpretable machine learning (IML), co-predictive networks were generated to identify rules and uncover underlying relation …
Spin-valley Rashba monolayer laser.
Rong K, Duan X, Wang B, Reichenberg D, Cohen A, Liu CL, Mohapatra PK, Patsha A, Gorovoy V, Mukherjee S, Kleiner V, Ismach A, Koren E, Hasman E. Rong K, et al. Nat Mater. 2023 Sep;22(9):1085-1093. doi: 10.1038/s41563-023-01603-3. Epub 2023 Jul 6. Nat Mater. 2023. PMID: 37414946
Direct-bandgap transition metal dichalcogenide monolayers are appealing candidates to construct atomic-scale spin-optical light sources owing to their valley-contrasting optical selection rules. Here we report on a spin-optical monolayer laser by incorporating a WS(2) mono …
Direct-bandgap transition metal dichalcogenide monolayers are appealing candidates to construct atomic-scale spin-optical light sources owin …
A two-compartment model of synaptic computation and plasticity.
Tong R, Emptage NJ, Padamsey Z. Tong R, et al. Mol Brain. 2020 May 20;13(1):79. doi: 10.1186/s13041-020-00617-1. Mol Brain. 2020. PMID: 32434549 Free PMC article. Review.
The synapse is typically viewed as a single compartment, which acts as a linear gain controller on incoming input. Traditional plasticity rules enable this gain control to be dynamically optimized by Hebbian activity. ...We argue that both compartments are equipped with di …
The synapse is typically viewed as a single compartment, which acts as a linear gain controller on incoming input. Traditional plasticity …
Qihuang Zhuyu formula alleviates coronary microthrombosis by inhibiting PI3K/Akt/αIIbβ3-mediated platelet activation.
Ding Y, Xiang Q, Zhu P, Fan M, Tong H, Wang M, Cheng S, Yu P, Shi H, Zhang H, Chen X. Ding Y, et al. Phytomedicine. 2024 Mar;125:155276. doi: 10.1016/j.phymed.2023.155276. Epub 2023 Dec 14. Phytomedicine. 2024. PMID: 38295661 Free article.
Five molecules including Calyson, Oroxin A, Protosappanin A,Kaempferol and Geniposide were screened and subjected to molecular docking and SPR validation in combination with Lipinski rules (Rule of 5, Ro5). In vivo experiments showed that QHZYF not only improved myocardial …
Five molecules including Calyson, Oroxin A, Protosappanin A,Kaempferol and Geniposide were screened and subjected to molecular docking and S …
Roadmap for naming uncultivated Archaea and Bacteria.
Murray AE, Freudenstein J, Gribaldo S, Hatzenpichler R, Hugenholtz P, Kämpfer P, Konstantinidis KT, Lane CE, Papke RT, Parks DH, Rossello-Mora R, Stott MB, Sutcliffe IC, Thrash JC, Venter SN, Whitman WB, Acinas SG, Amann RI, Anantharaman K, Armengaud J, Baker BJ, Barco RA, Bode HB, Boyd ES, Brady CL, Carini P, Chain PSG, Colman DR, DeAngelis KM, de Los Rios MA, Estrada-de Los Santos P, Dunlap CA, Eisen JA, Emerson D, Ettema TJG, Eveillard D, Girguis PR, Hentschel U, Hollibaugh JT, Hug LA, Inskeep WP, Ivanova EP, Klenk HP, Li WJ, Lloyd KG, Löffler FE, Makhalanyane TP, Moser DP, Nunoura T, Palmer M, Parro V, Pedrós-Alió C, Probst AJ, Smits THM, Steen AD, Steenkamp ET, Spang A, Stewart FJ, Tiedje JM, Vandamme P, Wagner M, Wang FP, Yarza P, Hedlund BP, Reysenbach AL. Murray AE, et al. Nat Microbiol. 2020 Aug;5(8):987-994. doi: 10.1038/s41564-020-0733-x. Epub 2020 Jun 8. Nat Microbiol. 2020. PMID: 32514073 Free PMC article. Review.
Regardless of the path taken, we believe that action is needed now within the scientific community to develop consistent rules for nomenclature of uncultivated taxa in order to provide clarity and stability, and to effectively communicate microbial diversity....
Regardless of the path taken, we believe that action is needed now within the scientific community to develop consistent rules for no …
No evidence of genetic causal association between sex hormone-related traits and systemic lupus erythematosus: A two-sample Mendelian randomization study.
Yuan G, Yang M, Xie J, Xu K, Zhang F. Yuan G, et al. Clin Rheumatol. 2023 Dec;42(12):3237-3249. doi: 10.1007/s10067-023-06700-x. Epub 2023 Jul 26. Clin Rheumatol. 2023. PMID: 37495778
CONCLUSIONS: Our MR analysis demonstrated that genetically predicted testosterone, E2, SHBG, and BT levels were not associated with SLE risk, but the roles of other non-genetic pathways cannot be ruled out. Key Points This is the first MR study to explore the causal associ …
CONCLUSIONS: Our MR analysis demonstrated that genetically predicted testosterone, E2, SHBG, and BT levels were not associated with SLE risk …
368 results