def METHOD_NAME(self, helpers, tangled_tree):
    text_format = 'plain'
    # Get text for tangled tree.
    text_str = tangled_tree.get_text_for_tangled_tree(text_format, save_file=False)
    df= pd.read_csv(StringIO(text_str)).drop(columns=['Unnamed: 0'])
    # Define expected text associated with 'Patient' and 'Imaging' tree
    expected_patient_text = ['Biospecimen', 'BulkRNA-seqAssay']
    expected_Biospecimen_text = ['BulkRNA-seqAssay']
    # Get actual text
    actual_patient_text = df.loc[df['Component'] == 'Patient']['name'].tolist()
    actual_Biospecimen_text = df.loc[df['Component'] == 'Biospecimen']['name'].tolist()
    # Check some random pieces of text we would assume to be in the plain text.
    assert ((df['Component'] == 'Patient') & (df['name'] == 'Biospecimen')).any()
    # Check the extracted text matches expected text.
    assert actual_patient_text == expected_patient_text
    assert actual_Biospecimen_text == expected_Biospecimen_text