ライフサイエンスコーパス: OMI

1 OMI has significant implications for rapid cellular-leve

2 OMI probes the fluorescence intensities and lifetimes of

3 OMI resolved trastuzumab-induced changes in cellular met

4 OMI-derived summertime HCHO values are converted to annu

5 nce of ERalpha, G93A-SOD1 failed to activate OMI and the proteasome, confirming the ERalpha dependenc

6 In addition, OMI resolved cellular subpopulations of differing respon

7 In addition, OMI resolves differences in the basal metabolic activity

8 Therefore, an OMI organoid drug screen could enable accurate testing o

9 R = 0.93) is found between SO2 emissions and OMI-observed SO2 burdens.

10 sensitive to drug response in organoids, and OMI in tumor organoids correlates with primary tumor dru

11 OMI-derived ground-level NO2 concentrations, OMI NO2 columns, and bottom-up NOx emission inventories

12 days 1 to 18 (+5.7, P =.046) and 20% higher OMI between days 6 and 12 (+3.8, P =.27).

13 Optical metabolic imaging (OMI) is a noninvasive, high-resolution, quantitative too

14 Specifically, optical metabolic imaging (OMI) is highly sensitive to drug response in organoids,

15 Importantly, OMI endpoints remained unchanged with trastuzumab treatm

16 onymous mutation and a novel polymorphism in OMI/HTRA2 locus have been associated with Parkinson's di

17 measures included the oral mucositis index (OMI), speed of engraftment (platelet and granulocyte cou

18 2 to 3 days using the Oral Mucositis Index (OMI).

19 (AIRS) CO, Aura Ozone Monitoring Instrument (OMI) aerosol index, and Aura Microwave Limb Sounder (MLS

20 ations from the Ozone Monitoring Instrument (OMI) for Indian coal-fired power plants during the OMI e

21 ts, made by the Ozone Monitoring Instrument (OMI) on NASA's Aura satellite in 2005-2015.

22 pixels from the Ozone Monitoring Instrument (OMI) over 18 NO2 hotspots in China.

23 columns by the Ozone Monitoring Instrument (OMI) over China from 2005 to 2010 in order to estimate t

24 ty in satellite Ozone Monitoring Instrument (OMI) tropospheric column NO2 densities.

25 ations from the Ozone Monitoring Instrument (OMI) were used to examine trends in nitrogen dioxide (NO

26 rieved from the Ozone Monitoring Instrument (OMI).

27 Intraprocedural OMI was successfully performed in six lesions (two lesio

28 bjective of this perspective is to introduce OMI and tumor organoids to a general audience in order t

29 uring days 6 to 12, 1 to 18, and the maximum OMI score between days 1 to 18.

30 R activity (TT genotype) had 36% higher mean OMI during days 1 to 18 (+5.7, P =.046) and 20% higher O

31 e were found to be predictive of higher mean OMI scores (P <.05).

32 upplement use was associated with lower mean OMI scores compared to those who did not use supplements

33 ysis was used to identify predictors of mean OMI during days 6 to 12, 1 to 18, and the maximum OMI sc

34 compatibility were not associated with mean OMI scores.

35 not male, G93A-SOD1 mice showed elevation of OMI and proteasome activity.

36 ion, we analyzed the entire coding region of OMI/HTRA2 in a series of 644 North American PD cases wit

37 The clinical translation of OMI to percutaneous hepatic interventions was demonstrat

38 The 14-amino analogue of oxymorphindole (OMI) was synthesized and found to possess delta-opioid b

39 dian overall added procedure time to perform OMI was 2 minutes.

40 regulate the proteasome and the IMS protease OMI.

41 ersampling technique, yearly high-resolution OMI maps for the whole domain of India are created, and

42 our spaceborne instruments: GOME, SCIAMACHY, OMI, and GOME-2.

43 g year(-1) produce statistically significant OMI signals, and a high correlation (R = 0.93) is found

44 We confirm that OMI correlates with cellular glycolytic levels across a

45 The OMI measurements permit estimation of SO2 emissions from

46 The OMI-derived surface NO2 data are significantly correlate

47 The OMI-derived trends were found to be consistent with thos

48 or Indian coal-fired power plants during the OMI era of 2005-2012.

49 05-2016 summertime HCHO column data from the OMI satellite instrument, validated with high-quality ai

50 We examine how the OMI-derived ground-level NO2 concentrations, OMI NO2 col

51 ignal from volcanic eruptions present in the OMI data.

52 ort model (GEOS-Chem) are used to relate the OMI NO2 columns to ground-level concentrations.

53 binding affinity and selectivity similar to OMI.

54 ted by the Indian Government, both the total OMI-observed SO2 and annual average SO2 concentrations i

55 In vivo OMI is sensitive to metabolic changes induced by inhibit