Data Sheet 1_Transcriptomic analysis of ROS1+ non-small cell lung cancer reveals an upregulation of nucleotide synthesis and cell adhesion pathways.pdf by Marc Terrones (18094462)

“…When comparing ROS1+ tumor versus cell line transcriptomes, an upregulation of MYC and MET was found in cell lines together with a significantly decreased expression of HER3, HER4 and BRAF. …”

Table 1_Transcriptomic analysis of ROS1+ non-small cell lung cancer reveals an upregulation of nucleotide synthesis and cell adhesion pathways.xlsx by Marc Terrones (18094462)

“…When comparing ROS1+ tumor versus cell line transcriptomes, an upregulation of MYC and MET was found in cell lines together with a significantly decreased expression of HER3, HER4 and BRAF. …”

Data from: Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri by Katherine Wynne (22078346)

“…</p> <p><em>Synthesis and Applications</em>: Our results revealed that grasslands, notably young prairies, produce larger quantities of seed rain than previously known (124,806 seeds m^-2 year ^–1, 97.24 g m^-2 year ^–1), and seed input in all sampled prairies far exceeded restoration broadcast seeding densities. We further found that decreases in seed rain quantity across the chronosequence did not correspond with increases in seed mass, suggesting a lack of tradeoffs between these metrics. …”

Image 10_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

DataSheet8_Refining dual RNA-seq mapping: sequential and combined approaches in host-parasitic plant dynamics.csv by Carmine Fruggiero (20143830)

“…However, it has to deal with issues related to multiple mapping and cross-mapping of reads in host and parasite genomes, particularly as evolutionary divergence decreases. In this paper, we evaluated the feasibility of this technique by simulating interactions between parasitic and host plants and refining the mapping process. …”

Image 3_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Image 7_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Table 6_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 6_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

GI variables of single-task versus dual-task. by Angeloh Stout (21755757)

“…We found that dual-task conditions significantly affected both gait initiation and sit-to-walk patterns, increasing the duration of transitions and mediolateral center of mass displacements, while reducing vertical center of mass displacements and forward propulsion. …”

Image 8_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Image 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 15_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Image 4_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Image 2_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 11_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.jpeg by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

DataSheet10_Refining dual RNA-seq mapping: sequential and combined approaches in host-parasitic plant dynamics.csv by Carmine Fruggiero (20143830)

“…However, it has to deal with issues related to multiple mapping and cross-mapping of reads in host and parasite genomes, particularly as evolutionary divergence decreases. In this paper, we evaluated the feasibility of this technique by simulating interactions between parasitic and host plants and refining the mapping process. …”

Table 1_The RNA-binding protein ProQ directly binds and regulates virulence genes in enterohemorrhagic Escherichia coli O157:H7.docx by Ye Qian (7400186)

“…We found that deletion of proQ significantly enhanced cell adherence ability of EHEC and led to upregulation of the locus of enterocyte effacement (LEE) pathogenicity island. …”

Image 5_RBM15-mediated metabolic reprogramming boosts immune response in colorectal cancer.tif by Chen Wang (88408)

“…Additionally, we evaluated tumor growth and immune cell infiltration using syngeneic mouse models.…”

Dynamic Analysis of Membrane Emulsification: An In Situ Observation and Calculation with Deep Learning Model by Ke Zhou (131917)

“…The trained model achieved a precision of 0.945, a recall of 0.998, and a mAP@0.5 of 0.989, enabling fully automated extraction of microdroplet size and size distribution. Using this device, we demonstrated that decreasing the pore size or increasing the dispersed phase flow rate induces droplet formation transition from dripping to jetting, with the Weber number (<i>We</i>_d) quantifying this critical condition (<i>We</i>_d = 16 ± 12%). …”