Exome-wide association study (EWAS) for central systolic blood pressure (cSBP) and eQTL plot. by Nitin Kumar (103133)

“…Bottom Panel: Gene/transcript annotations are sourced from the reference downloaded from the UCSC database (EST, mRNA, uniGene, Encode, and RefGene). <b>(D)</b> eQTL plots for rs33975708 (chr2_117986054_G_A_b38 eQTL) and ENSG00000125633.10 (<i>CCDC93</i>), for human arterial tissues in GTEx data. …”

Anti-Leukemia Activity of <em>In Vitro</em>-Expanded Human Gamma Delta T Cells in a Xenogeneic Ph⁺ Leukemia Model by Gabrielle M. Siegers (123297)

“…These cells express CD16, CD45RO, CD56, CD95 and NKG2D. Flow cytometric, clonogenic, and chromium release assays confirmed their specific cytotoxicity against Ph⁺ cell lines <em>in vitro</em>. …”

Worsened gas exchange capability as a reason for an elective system-exchange. by Matthias Lubnow (668123)

“…The oxygenation capability (pO_{2 post}MO) decreased (middle, C). ECMO blood flow remained unchanged (bottom, D). …”

RSC and Ino80C act broadly whereas SWI/SNF functions mainly at highly expressed genes to promote TBP recruitment. by Yashpal Rawal (606804)

“…(ii)-(iv) Heat map depictions of corrected occupancies of (ii) Snf2-myc_U, (iii) Sth1-myc_U, and Ino80-myc_U (iv) at RP genes (at the top) and all other genes sorted in decreasing order of WT_U Rpb3 levels, color-coded as indicated on the right.…”

DataSheet_1_Targeting WEE1 Inhibits Growth of Breast Cancer Cells That Are Resistant to Endocrine Therapy and CDK4/6 Inhibitors.pdf by Yassi Fallah (7121720)

“…Indeed, inhibition of WEE1, a crucial G2 checkpoint regulator, with AZD1775 (Adavosertib), significantly decreased cell proliferation and increased G2/M arrest, apoptosis and gamma-H2AX levels (a marker for DNA double stranded breaks) in resistant cells compared with sensitive cells. …”

Sequence evolution of the intrinsically disordered E7N domain. by Lucía B. Chemes (124581)

“…(<b>C</b>) Distribution of the information content of confidently aligned positions in the E7N domain (average is 2.4±1.0 bits). (<b>D</b>) Distribution of the information content of confidently aligned positions in the E7C domain (average is 2.1±1.2 bits).…”

Genome-Wide Analysis of Histone H3 Lysine9 Modifications in Human Mesenchymal Stem Cell Osteogenic Differentiation by Jiang Tan (260415)

“…In addition, our results showed that the vitamin D receptor played a trans-repression role via alternations of H3K9Ac and H3K9Me2 upon MSC osteogenic differentiation. …”

Figure S2 from Targeting MET and FGFR in Relapsed or Refractory Acute Myeloid Leukemia: Preclinical and Clinical Findings, and Signal Transduction Correlates by Evan C. Chen (15054014)

“…Reverse transcription-PCR showing decreased expression of CISH, a downstream target of STAT5, is displayed in C. …”

Effects of miR-31 on cell number, apoptosis and proliferation of ES cell lines. by Bianca Karnuth (542758)

“…<p>(A) miR-31 decreases the proliferation of ES cell lines. …”

Image_8_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Table_1_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.docx by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_7_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_9_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_4_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_3_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_10_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_1_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Table_3_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.docx by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

DataSheet_1_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.docx by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”

Image_6_Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China.jpeg by Yao Wang (102387)

“…In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).…”