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Integrative Transcriptome and Metabolome Analysis Reveals Candidate Genes Related to Terpenoid Synthesis in <i>Amylostereum areolatum</i> (<i>Russulales: Amylostereaceae</i>). [PDF]

J Fungi (Basel)
Wang L, Fu N, Wang M, Zhan Z, Luo Y, Wu J, Ren L.   +6 more
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Membrane Stress and Ferroptosis: Lipid Dynamics in Cancer. [PDF]

Int J Mol Sci
Lee J, Seo Y, Roh JL.
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Do farnesol and tyrosol production in <i>Candidozyma auris</i> biofilms reflect virulence potential? [PDF]

Virulence
Moreira Dos Santos M, Santos Moure H, Ferreira MJP, Ishida K.   +3 more
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Evolution of linear triterpenoid biosynthesis within the Euphorbia genus. [PDF]

Nat Commun
Czechowski T, Li Y, Gilday AD, Harvey D, Swamidatta SH, Lichman BR, Ward JL, Graham IA.   +7 more
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Targeted Drug Delivery by MMAE Farnesyl-Bioconjugated Multivalent Chemically Self-Assembled Nanorings Induces Potent Receptor-Dependent Immunogenic Cell Death. [PDF]

Bioconjug Chem
Wang Y, Kilic O, Rozumalski L, Distefano MD, Wagner CR.   +4 more
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Transcriptome analysis of jejunal mucosal tissue in breeder hens exposed to acute heat stress. [PDF]

Poult Sci
Zhu Y, Kubota S, Pasri P, Rakngam S, Okrathok S, Pukkung C, Yang S, Khempaka S.   +7 more
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Lycorine hydrochloride inhibits cholangiocarcinoma through cholesterol biosynthesis and PTPN11 nuclear translocation. [PDF]

Cell Commun Signal
Zhao F, Peng S, Zou L, Zhong M, Huang Y, Wang P, Ji M, Ma X, Li F.   +8 more
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Ubiquitin specific peptidase 32 acts as an oncogene in epithelial ovarian cancer by deubiquitylating farnesyl-diphosphate farnesyltransferase 1

Ubiquitin specific peptidase 32 acts as an oncogene in epithelial ovarian cancer by deubiquitylating farnesyl-diphosphate farnesyltransferase 1
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Ubiquitin specific peptidase 32 acts as an oncogene in epithelial ovarian cancer by deubiquitylating farnesyl-diphosphate farnesyltransferase 1

Biochemical and Biophysical Research Communications, 2021
Epithelial ovarian cancer (EOC) is the seventh most common cancer worldwide and the deadliest gynecological malignancy because of its aggressiveness and high recurrence rate. To discover new therapeutic targets for EOC, we combined public EOC microarray datasets with our previous in vivo shRNA screening dataset.
Aya Nakae, Michiko Kodama, Toru Okamoto, Makoto Tokunaga, Hiroko Shimura, Kae Hashimoto, Kenjiro Sawada, Takahiro Kodama, Neal G. Copeland, Nancy A. Jenkins, Tadashi Kimura   +10 more
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