Table_3_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_5_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_2_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_9_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_11_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_7_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xls by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_4_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_1_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.docx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_10_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xls by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_8_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Biochemical characterization of the endolysins of the lactococcal phages P008, c2, 1358, and P335. by Frank Oechslin (4825476)

“…The color gradient indicates the percent of decrease in absorbance measured over time. Values are means and standard deviations from triplicates (<a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3001740#pbio.3001740.s016" target="_blank">S1 Data</a>). …”

DataSheet1_Lycium barbarum polysaccharide reverses drug resistance in oxaliplatin-resistant colon cancer cells by inhibiting PI3K/AKT-dependent phosphomannose isomerase.PDF by Lijun Ma (207865)

“…We also aimed to explore the possible mechanism underlying this effect. …”

<b>Contrasting strategies, shared risk: 12-yr nitrogen addition compromises hydraulic safety in young and mature trees via distinct pathways</b> by Shijie Ning (17757825)

“…We found that, in young trees, N50 decreased soluble sugars in leaves, twigs, and branches, but increased in roots, suggesting a preferential belowground allocation, whereas N20 responses were limited. …”

Data_Sheet_1_Brain NAD Is Associated With ATP Energy Production and Membrane Phospholipid Turnover in Humans.pdf by Bernard Cuenoud (2299111)

“…This study explores the correlations between brain NAD, energy production and membrane phospholipid metabolism by 31-phosphorous magnetic resonance spectroscopy (³¹P-MRS) across 50 healthy participants including a young (mean age 27.1-year-old) and middle-aged (mean age 56.4-year-old) group. …”

Mutation of the hydrophobic tip residues disrupts evoked transmitter release. by Matthew R. Bowers (8423115)

“…<p>The single hydrophobic mutation decreased neurotransmitter release by 50% while the double mutation inhibited release to a greater extent than that seen in <i>syt^null</i> mutants. …”

Empirical results from the slime mould experiment. by James A. R. Marshall (7444412)

“…<p>Decreasing latencies to reach a food source as a function of the magnitude of the equal alternatives. …”

The fraction of the force distribution with a magnitude of force <i>f</i> greater than or equal to 0.01<i>F</i>_<i>s</i>, as a function of the diffusion constant for the... by Niranjan Sarpangala (12837428)

Replication data for: Hazel dormouse in managed woodland select for young, dense, and species-rich tree stands by Rasmus Mohr Mortensen (9512723)

“…We modelled selection at home range level as the conditional probability of occupancy of 588 nest boxes and nest tubes in 15 managed forests relative to habitat variables measured within 25 m radius. …”

Detailed clinical characteristics of 99 Korean colorectal cancer sample by Jae-Yoon Kim (22817186)

“…To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. …”

Accession numbers, mapping statistics, and matched RNA accession numbers for 99 Korean CRC whole-genome samples by Jae-Yoon Kim (22817186)

“…To provide insights into this, we present a high-quality multi-omics dataset consisting of whole genome sequencing (WGS) and RNA sequencing (RNA-seq) data from 49 EOCRC and 50 LOCRC patients. …”