Experimental conditions during the cold stress exposure. by Oumayma Arbani (21001472)

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Average body weight trends for the four groups during the pre-challenge period. by Oumayma Arbani (21001472)

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Trends of average ocular symptom scores during the post-challenge period. by Oumayma Arbani (21001472)

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Average histopathological lesions and scores noted in trachea and lungs of birds during post-infection period. by Oumayma Arbani (21001472)

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Experimental design used in broiler chickens. by Oumayma Arbani (21001472)

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Mean AIV-H9N2 shedding titer (Log₁₀) in oropharyngeal swabs. by Oumayma Arbani (21001472)

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Necropsy lesions of deceased chicks from group B, lesions are presented in yellow arrows. by Oumayma Arbani (21001472)

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Microscopical lesions in trachea and lungs H&E staining on dpi 5. by Oumayma Arbani (21001472)

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Average body weight trends for the four groups during the post-challenge period. by Oumayma Arbani (21001472)

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Microscopical lesions in trachea and lungs H&E staining on dpi 10. A) Moderate to severe subacute tracheitis (score 2) with epithelial hyperplasia (Asterisk) and mixed inflammatory... by Oumayma Arbani (21001472)

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Trends of average respiratory symptom scores during the post-challenge period. by Oumayma Arbani (21001472)

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Quantitative estimation of viral concentration from qRT-PCR data using a regression equation. by Oumayma Arbani (21001472)

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Table 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Image 1_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Image 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Image 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Table 2_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Table 3_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.xlsx by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Image 4_The analysis of gene co-expression network and immune infiltration revealed biomarkers between triple-negative and non-triple negative breast cancer.tif by Yao Yi (459571)

“…Particularly intriguing discovery emerged with respect to the transcription factor FOXM1, which demonstrated a significant regulatory role in genes positively correlated with the proportions of M0 and M1 macrophages, while displaying a negative correlation with the proportion of M2 macrophages in breast cancer tissue.…”

Adult <i>Shroom3</i>^<i>+</i>^<i>/Gt</i> hearts show decreased cardiomyocyte cross-sectional area. by Jennifer L. Carleton (22208916)

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