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101
Table 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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102
Image 1_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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103
Table 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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104
Table 7_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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105
Table 10_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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106
Image 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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107
Table 5_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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108
Image 3_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.tif
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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109
Table 2_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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110
Table 6_Integrative single-cell and spatial transcriptomics analysis reveals FLAD1 as a regulator of the immune microenvironment in hepatocellular carcinoma.xlsx
Published 2025“…Spatial transcriptomics analysis provided a structural basis for this immune exclusion, demonstrating that an intact tumor capsule can function as a physical barrier that fosters an immune-exempt microenvironment. …”
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111
The organizational flow of the study.
Published 2025“…Participants identified design elements that were both facilitators and barriers to use. Usability scores for both prototypes were excellent. …”
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112
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113
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114
GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
Published 2025“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”
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115
Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions”
Published 2025“…The variable cell nudged elastic band method18 was employed to obtain the energy barrier of phase transition. The structure search for the low-temperature phase was conducted using the generic evolutionary algorithm implemented in the USPEX code<sup>42–44</sup>. …”
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116
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118
Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model
Published 2025“…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”
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119
S1 Graphical abstract -
Published 2025“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”
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120
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…”