Results 131 to 140 of about 506,431 (309)

A transcription factor ensemble orchestrates bundle sheath expression in rice. [PDF]

open access: yesNat Commun
Hua L   +7 more
europepmc   +1 more source

Atrioventricular node ablation and His bundle pacing.

open access: yesEuropace, 2017
P. Vijayaraman   +2 more
semanticscholar   +1 more source

EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines

open access: yesMolecular Oncology, EarlyView.
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche   +8 more
wiley   +1 more source

Tumor clusters with divergent inflammation and human retroelement expression determine the clinical outcome of patients with serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner   +6 more
wiley   +1 more source

National Partnership for Maternal Safety Consensus Bundle on Obstetric Hemorrhage.

open access: yesJournal of midwifery & women's health, 2015
E. Main   +8 more
semanticscholar   +2 more sources

Evaluating the implementation of maternal safety bundles for obstetric hemorrhage and severe hypertension during pregnancy in Arkansas. [PDF]

open access: yesBMC Pregnancy Childbirth
Peng C   +6 more
europepmc   +1 more source

Block bundles [PDF]

open access: yesBulletin of the American Mathematical Society, 1966
Rourke, C. P., Sanderson, B. J.
openaire   +3 more sources

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

open access: yesMolecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul   +11 more
wiley   +1 more source

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