diff --git a/drugstone/urls.py b/drugstone/urls.py
index a24a2526f2625ef6de2130e461cc7e1c2cf1e24d..bf5b30efb64487d74ff0e2b80dda80769db47f4b 100755
--- a/drugstone/urls.py
+++ b/drugstone/urls.py
@@ -19,7 +19,7 @@ from django.urls import path
 from drugstone.views import map_nodes, tasks_view, result_view, \
     graph_export, TissueView, query_tissue_proteins, TaskView, \
     adjacent_drugs, adjacent_disorders, fetch_edges, create_network, load_network, get_license, get_datasets, \
-    get_max_tissue_expression, get_tissue_expression
+    get_max_tissue_expression
 
 # cache time is 6 hours
 urlpatterns = [
@@ -33,7 +33,7 @@ urlpatterns = [
     path('query_tissue_proteins/', query_tissue_proteins),
     path('adjacent_drugs/', adjacent_drugs),
     path('adjacent_disorders/', adjacent_disorders),
-    path('tissue_expression/', get_tissue_expression),
+    path('tissue_expression/', TissueExpressionView.as_view()),
     path('tissue_max_expression/', get_max_tissue_expression),
     path('tissues/', TissueView.as_view()),
     path('admin/', admin.site.urls),
diff --git a/drugstone/views.py b/drugstone/views.py
index 8957ffe8af39a56fc064983d7858339a28cd780d..88dc1050b4bab7d63f1f4ef235239e83cb5cd568 100755
--- a/drugstone/views.py
+++ b/drugstone/views.py
@@ -653,49 +653,56 @@ class TissueView(APIView):
         return Response(TissueSerializer(many=True).to_representation(tissues))
 
 
-@api_view(['POST', 'GET'])
-def get_tissue_expression(request) -> Response:
-    tissue = Tissue.objects.get(id=request.query_params.get('tissue'))
+class TissueExpressionView(APIView):
+    """
+    Expression of host proteins in tissues.
+    """
 
-    if request.query_params.get('proteins'):
-        ids = json.loads(request.query_params.get('proteins'))
-        proteins = list(Protein.objects.filter(id__in=ids).all())
-    elif request.query_params.get('token'):
-        proteins = []
-        task = Task.objects.get(token=request.query_params['token'])
-        result = task_result(task)
-        network = result['network']
-        node_attributes = result.get('node_attributes')
-        if not node_attributes:
-            node_attributes = {}
-        node_types = node_attributes.get('node_types')
-        if not node_types:
-            node_types = {}
-        parameters = json.loads(task.parameters)
-        seeds = parameters['seeds']
-        nodes = network['nodes']
-        for node in nodes + seeds:
-            node_type = node_types.get(node)
-            details = None
-            if node_type == 'protein':
-                if details:
-                    proteins.append(details)
-                else:
-                    try:
-                        prot = Protein.objects.get(uniprot_code=node)
-                        if prot not in proteins:
-                            proteins.append(Protein.objects.get(uniprot_code=node))
-                    except Protein.DoesNotExist:
-                        pass
-
-    pt_expressions = {}
-
-    for protein in proteins:
-        try:
-            expression_level = ExpressionLevel.objects.get(protein=protein, tissue=tissue)
-            pt_expressions[
-                ProteinSerializer().to_representation(protein)['drugstone_id']] = expression_level.expression_level
-        except ExpressionLevel.DoesNotExist:
-            pt_expressions[ProteinSerializer().to_representation(protein)['drugstone_id']] = None
+    def get(self, request) -> Response:
+        return self.post(request)
+
+    def post(self, request) -> Response:
+        tissue = Tissue.objects.get(id=request.data.get('tissue'))
+
+        if request.data.get('proteins'):
+            ids = json.loads(request.data.get('proteins'))
+            proteins = list(Protein.objects.filter(id__in=ids).all())
+        elif request.data.get('token'):
+            proteins = []
+            task = Task.objects.get(token=request.data['token'])
+            result = task_result(task)
+            network = result['network']
+            node_attributes = result.get('node_attributes')
+            if not node_attributes:
+                node_attributes = {}
+            node_types = node_attributes.get('node_types')
+            if not node_types:
+                node_types = {}
+            parameters = json.loads(task.parameters)
+            seeds = parameters['seeds']
+            nodes = network['nodes']
+            for node in nodes + seeds:
+                node_type = node_types.get(node)
+                details = None
+                if node_type == 'protein':
+                    if details:
+                        proteins.append(details)
+                    else:
+                        try:
+                            prot = Protein.objects.get(uniprot_code=node)
+                            if prot not in proteins:
+                                proteins.append(Protein.objects.get(uniprot_code=node))
+                        except Protein.DoesNotExist:
+                            pass
+
+        pt_expressions = {}
+
+        for protein in proteins:
+            try:
+                expression_level = ExpressionLevel.objects.get(protein=protein, tissue=tissue)
+                pt_expressions[
+                    ProteinSerializer().to_representation(protein)['drugstone_id']] = expression_level.expression_level
+            except ExpressionLevel.DoesNotExist:
+                pt_expressions[ProteinSerializer().to_representation(protein)['drugstone_id']] = None
 
         return Response(pt_expressions)