Palmitic acid decreases cell migration by increasing RGS2 expression and decreasing SERCA expression by Octavio Galindo-Hernandez (10350992)

MICROPLASTICS INCREASE SOIL PH AND DECREASE MICROBIAL ACTIVITIES AS A FUNCTION OF MICROPLASTIC SHAPE, POLYMER TYPE, AND EXPOSURE TIME- original data.xlsx by Tingting Zhao (10756023)

A genome-wide association study implicates that the <i>TTC39C</i> gene is associated with diabetic maculopathy with decreased visual acuity by Weihua Meng (2954112)

S5 Fig - by Meghan J. Hirsch (16528311)

Spatial distribution of total consumer biomass response types, for the seven considered MEMs forced with GFDL-SSP5-8.5. by Vianney Guibourd de Luzinais (16871842)

Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

“…However, there is concern that by neutralizing the SARS-CoV-2 virus, nMAbs may decrease the availability of antigens to the immune system, potentially impairing the endogenous polyclonal immune response and decreasing long-term immune protection.…”

Data_Sheet_6_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

“…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”

Data_Sheet_2_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

“…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”

Data_Sheet_1_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

“…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”

Data_Sheet_4_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

“…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”

Data_Sheet_3_Chemical Similarity of Co-occurring Trees Decreases With Precipitation and Temperature in North American Forests.CSV by Brian E. Sedio (10875330)

“…We used untargeted metabolomics methods based on data generated with liquid chromatography-tandem mass spectrometry to identify, classify, and compare 13,480 unique foliar metabolites and to quantify the metabolomic similarity of species in each community with respect to the whole metabolome and each of five broad classes of metabolites. …”

WT data of set A398E/V and set M1425V/I pooled for better comparison. by Yousra El Ghaleb (22075892)

Subjects:

Ensemble projections of NPP and total consumer biomass changes, relative to 1995–2014, under SSP5-8.5 and for all the considered MEMs. by Vianney Guibourd de Luzinais (16871842)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

Repetitive stress induces a decrease in sound-evoked activity. by Ghattas Bisharat (20706928)

“…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). …”

Image_1_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

“…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”

Image_4_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

“…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”

Image_7_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

“…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”

Image_3_TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.tif by Takahiko Akagi (13138338)

“…T79M is a known mutation responsible for TRAPS, whereas G87V is a TRAPS mutation that we have reported, and T90I is a variant of unknown significance. …”