Results 191 to 200 of about 9,647,443 (317)

Author Correction: Database of surface water diversion sites and daily withdrawals for the Upper Colorado River Basin, 1980–2022

Scientific Data
Samuel F. Lopez, Jacob E. Knight, Fred D. Tilman, Melissa D. Masbruch, Daniel R. Wise, Casey J. Jones, Matthew P. Miller   +6 more
doaj   +1 more source

Diverse residents' experiences of policing and attitudes towards law enforcement: Findings from a large community-based survey in San José, California. [PDF]

PLoS One
de Bourbon S, Dao M, Fuller MM, Armaline W, Asplund C, Kumar R, DeSanto D, Robinson J, Sanderlin D, Worthen M.   +9 more
europepmc   +1 more source

Multiplex single‐cell profiling of putative cancer stem cell markers ALDH1, SOX9, SOX2, CD44, CD133 and CD15 in endometrial cancer

Molecular Oncology, EarlyView.
Cancer stem cells are associated with aggressive disease, but a deep characterization of such markers is lacking in endometrial cancer. This study uses imaging mass cytometry to explore putative cancer stem cell markers in endometrial tumors and corresponding organoid models.
Hilde E. Lien, Marta E. Hjelmeland, Hege F. Berg, Rose M. Gold, Kathrine Woie, Lars A. Akslen, Ingfrid S. Haldorsen, Camilla Krakstad   +7 more
wiley   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source

Using a novel, multi-method approach to evaluate the quality of self-report survey data in organizational readiness research. [PDF]

Implement Sci Commun
Craig DW, Hunyadi J, Walker TJ, Workman L, McClam M, Lamont A, Padilla JR, Diamond P, Wandersman A, Fernandez ME.   +9 more
europepmc   +1 more source

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

Molecular Oncology, EarlyView.
Cellular heterogeneity is a major cause of drug resistance in cancer. Segeren et al. used single‐cell transcriptomics to investigate gene expression events that correlate with sensitivity to the DNA‐damaging drugs gemcitabine and prexasertib. They show that dampened expression of transcription factor FOXM1 and its target genes protected cells against ...
Hendrika A. Segeren, Kathryn A. Wierenga, Frank M. Riemers, Elsbeth A. van Liere, Bart Westendorp   +4 more
wiley   +1 more source

One step on the QI journey: team perspectives on surveys for improvement. [PDF]

BMJ Open Qual
Reed JE, Iroz CB, Johnson JK, Godfrey MM.   +3 more
europepmc   +1 more source

CircCCNB1 inhibits vasculogenic mimicry by sequestering NF90 to promote miR‐15b‐5p and miR‐7‐1‐3p processing in nasopharyngeal carcinoma

Molecular Oncology, EarlyView.
CircCCNB1 expression is down‐regulated in nasopharyngeal carcinoma (NPC); thus, less NF90 protein is bound to circCCNB1 and more binds to pri‐miRNAs, blocking their (pri‐miRNAs) binding to DGCR8 and inhibiting the processing and generation of miR‐15b‐5p/miR‐7‐1‐3p. Furthermore, decreased miR‐15b‐5p/miR‐7‐1‐3p promotes the expression of the target genes
Chunmei Fan, Fenghua Tan, Jie Wu, Zhaoyang Zeng, Wenjia Guo, He Huang, Wei Xiong   +6 more
wiley   +1 more source

A ninth-year follow-up survey of attitudes and behaviors of obstetricians and gynecologists toward HPV vaccination in Japan. [PDF]

Sci Rep
Nakai M, Oka E, Ueda Y, Yagi A, Masuda T, Kakuda M, Nakagawa S, Hiramatsu K, Iwamiya T, Matsuzaki S, Kodama M.   +10 more
europepmc   +1 more source

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source