Data Sheet 1_eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.xlsx by Fenglin Lv (5258141)

“…Multi-omics analyses revealed that the gene is abnormally expressed and significantly correlated with patient prognosis in several cancer types. …”

Image 3_eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.tif by Fenglin Lv (5258141)

“…Multi-omics analyses revealed that the gene is abnormally expressed and significantly correlated with patient prognosis in several cancer types. …”

Presentation 1_eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.pdf by Fenglin Lv (5258141)

“…Multi-omics analyses revealed that the gene is abnormally expressed and significantly correlated with patient prognosis in several cancer types. …”

Image 4_eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.tif by Fenglin Lv (5258141)

“…Multi-omics analyses revealed that the gene is abnormally expressed and significantly correlated with patient prognosis in several cancer types. …”

Data Sheet 2_eQTL and multi-omics integration reveal PPIH as a prognostic and immunotherapeutic biomarker.xlsx by Fenglin Lv (5258141)

“…Multi-omics analyses revealed that the gene is abnormally expressed and significantly correlated with patient prognosis in several cancer types. …”

Image 1_Multi level effects of Sanghuang Tongxie Formula on type 2 diabetes rats: a comprehensive analysis from intestinal bacteria to metabolome and transcriptome.tif by Jiaxuan Liu (5185280)

“…</p>Results<p>SHTX treatment significantly altered the gut microbiota composition in T2DM rats, increasing the relative abundance of Bacteroidetes while decreasing that of Firmicutes, which was closely correlated with improved insulin sensitivity. …”

Data Sheet 1_Multi level effects of Sanghuang Tongxie Formula on type 2 diabetes rats: a comprehensive analysis from intestinal bacteria to metabolome and transcriptome.xlsx by Jiaxuan Liu (5185280)

“…</p>Results<p>SHTX treatment significantly altered the gut microbiota composition in T2DM rats, increasing the relative abundance of Bacteroidetes while decreasing that of Firmicutes, which was closely correlated with improved insulin sensitivity. …”

Raw and Supplementary Data by Nurun Nahar Nila (20444279)

“…All of the 25 samples had 23403A>G (D614G, S gene), 3037 C>T (nsp3) and 14408 C>T (nsp12) mutations, where 23403 A>G was responsible for increased transmission. …”

Table 2_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.xlsx by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”

Data Sheet 1_Integration of single-cell RNA and bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer.csv by Haiyang Du (13796506)

“…High expression of these genes correlated with poorer overall survival and an increased infiltration of M0 macrophages. …”

Image 2_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.jpeg by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”

Table1_Investigation of risk signatures associated with anoikis in thyroid cancer through integrated transcriptome and Mendelian randomization analysis.xlsx by Xiang-Yi Chen (1705381)

“…According to two-sample MR analysis, there was the significant causal relationship between CXCL8 and THCA (odds ratio [OR] > 1 & p< 0.05), and the increase of its gene expression would lead to an increased risk of THCA. …”

Exploring the impact of inflammatory cytokines on alcoholic liver disease: a Mendelian randomization study with bioinformatics insights into potential biological mechanisms by Zhitao Chen (1643053)

“…<p><i>Background:</i> Alcoholic liver disease (ALD) significantly contributes to global morbidity and mortality. …”

Structural and functional consequences of non-synonymous SNPs within the LAMA2 protein: a molecular dynamics perspective by Rafat Ali (2804440)

“…Secondary structure analysis revealed significant alterations in secondary structural content. …”

Table 1_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.xlsx by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”

Presentation1_Investigation of risk signatures associated with anoikis in thyroid cancer through integrated transcriptome and Mendelian randomization analysis.pdf by Xiang-Yi Chen (1705381)

“…According to two-sample MR analysis, there was the significant causal relationship between CXCL8 and THCA (odds ratio [OR] > 1 & p< 0.05), and the increase of its gene expression would lead to an increased risk of THCA. …”

Table 5_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.xlsx by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”

Image 1_SPINK1 facilitates tumor progression via the EGFR/JAK/STAT3 axis in oral squamous cell carcinoma: insights from single-cell RNA sequencing.tif by Mingyan Bao (22081151)

“…Cell-cell communication networks were reconstructed to map ligand-receptor interactions, while Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA) were employed to systematically investigate SPINK1-associated signaling pathways. …”

Image 1_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.jpeg by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”

Table 4_Metabolic reprogramming and macrophage expansion define ACPA-negative rheumatoid arthritis: insights from single-cell RNA sequencing.xlsx by Yafeng Jiang (20469185)

“…Immune cell populations were classified based on clustering and marker gene expression, with pseudotime trajectory analysis, weighted gene co-expression network analysis (WGCNA), and transcription factor network inference providing further insights. …”