<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE342nnn/GSE342778/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE342778</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Spatial transcriptomic profiling of vascular compartments of chronic antibody-mediated rejection in kidney allografts identified compartment-specific signatures: a pilot study</name><description>Chronic antibody-mediated rejection (CAMR) is a leading cause of late kidney allograft loss, and its vascular compartments are the principal site of injury. To resolve compartment-specific transcriptomic programs, we applied GeoMx Digital Spatial Profiling with the Human NGS Whole Transcriptome Atlas (18,677 targets) to formalin-fixed paraffin-embedded kidney allograft biopsies. Forty-eight regions of interest (ROIs) were profiled across three vascular compartments (glomerulus, peritubular capillary, and vessel) in patients with CAMR or no evidence of rejection (NER), stratified by donor-specific antibody (DSA) status, together with normal (non-transplant) kidney as a control. As a pilot study with one patient per group, this dataset is intended to be descriptive and hypothesis-generating rather than definitive.</description><dates><publication>2026/08/06</publication></dates><accession>GSE342778</accession><cross_references><GSM>GSM9938117</GSM><GSM>GSM9938116</GSM><GSM>GSM9938119</GSM><GSM>GSM9938118</GSM><GSM>GSM9938131</GSM><GSM>GSM9938098</GSM><GSM>GSM9938097</GSM><GSM>GSM9938130</GSM><GSM>GSM9938111</GSM><GSM>GSM9938133</GSM><GSM>GSM9938099</GSM><GSM>GSM9938132</GSM><GSM>GSM9938110</GSM><GSM>GSM9938135</GSM><GSM>GSM9938113</GSM><GSM>GSM9938134</GSM><GSM>GSM9938112</GSM><GSM>GSM9938115</GSM><GSM>GSM9938136</GSM><GSM>GSM9938114</GSM><GSM>GSM9938090</GSM><GSM>GSM9938092</GSM><GSM>GSM9938091</GSM><GSM>GSM9938094</GSM><GSM>GSM9938093</GSM><GSM>GSM9938096</GSM><GSM>GSM9938095</GSM><GSM>GSM9938128</GSM><GSM>GSM9938106</GSM><GSM>GSM9938105</GSM><GSM>GSM9938127</GSM><GSM>GSM9938108</GSM><GSM>GSM9938129</GSM><GSM>GSM9938107</GSM><GSM>GSM9938109</GSM><GSM>GSM9938120</GSM><GSM>GSM9938122</GSM><GSM>GSM9938100</GSM><GSM>GSM9938089</GSM><GSM>GSM9938121</GSM><GSM>GSM9938102</GSM><GSM>GSM9938124</GSM><GSM>GSM9938123</GSM><GSM>GSM9938101</GSM><GSM>GSM9938126</GSM><GSM>GSM9938104</GSM><GSM>GSM9938125</GSM><GSM>GSM9938103</GSM><GPL>24676</GPL><GSE>342778</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>