Welcome!This home page contains the Supplementary Materials supporting the current series of publications titled:

"Autocratic origins of disease?" and "Therapeutic exploitation of expression variability: optimization of cancer radioisotope therapy"

The manuscripts share most of the supporting files and the differences are specified in the Supplementary Materials in Word format, describing each manuscript individually.

Also see below the supporting data for the earlier article titled: "Successful anti-cancer targets able to pass FDA review demonstrate the identifiable signature distinct from the signatures of random genes and initially proposed targets"

S1.1 Initial large-scale project data on normal expression (Human Body Index):

GSE3526_series-1 GSE3526_series-2 GSE7307 Human body index-1 GSE7307 Human body index-2 GSE7307 Human body index-3

S1.2 Initial large-scale project data on cancer expression (EXPO project):

GSE2109-1 GSE2109-2 GSE2109-3 GSE2109-4 GSE2109-5 GSE2109-6 GSE2109-7 GSE2109-8 GSE2109-9

S1.3 Initial gene expression data - small scale projects:

GDS1249 Dendritic cells GDS1439 Prostate, benign and cancer GDS1553 Umbilical vein endothelial cells GDS1579 Leucocytes generic GDS1665 Thyroid norm and cancer GDS1673 Normal lung GDS1732 Thyroid, normal vs tumor GDS1973 Prostate normal GDS2118 CD34+ progenitors from a bone marrow GDS2216 Monocyte-derived dendritic cells GDS2221-monocyte derived dendritic cells GDS1439 Prostate, benign and cancer GDS2431-CD34+ Hematopoetic progenitor cells, differentiation GDS2609 colon mucos, normal and early cancer GDS2611 Epidermal keratinocytes GDS2615 Bronchial mucocilial cells GDS2628 Bronchial muscle cells GDS2635 Breast, normal and cancer, micodissected GDS2697 Normal sperm GDS2611 Proliferative endometrium normal GSE2125 Alveolar macrophages GSE2817 Glyoma GSE3045 Astrocytes GSE3141 Primary lung tumors GSE3325 Prostate, normal, cancer and metastatic GDS3678 Thyroid norm vs cancer GSE4452 Multiple myeloma untreated GSE4587 Normal skin vs melanoma GSE4757 Brain, normal vs Alzheimer’s GSE4888 Endometrium normal GSE4845 melanoma GSE5060_GPL570 Airway epithelium, smokers vs non_smokers GSE5079 Astrocytes GSE5372 Large airway epithelium, pre_ and post_ trauma GSE5504 Normal monocytes GSE5850 Normal oocytes GSE6090 Dendritic cells GSE6281 Skin GSE6798 Muscle normal vs disease GSE6338 Peripheral T_cell lymphoma GSE8672 Lymphocytes GSE9452 Colon mucosa normal vs inflamed GSE9647 huvec endothelial cells GSE9884 Bone marrow mesenchimal stem cells GSE6872 Normal sperm GSE7023 Normal renal and cancer GSE7476 Bladder norm and cancer GSE7896 Embryonic stem cells GSE7846 Endometrium normal and hyperplasia GSE8302 Normal hepatocytes GSE8514 Normal adrenal gland GSE8668 Neutrophils normal GSE8671 Normal colon mucosa and adenoma GSE7807 Normal monocytes

S2.1 Normal expression, individual tissue environments:

Accumbens Adipose tissue Adipose tissue omental Adrenal gland Amygdala Anja cells Aorta B-cell resting Bone marrow Breast Bronchus Caudate Colon Coronary artery Corpus calosum Dorsal root ganglia Endometrium Esophagus Fallopian tube GDS1439 Prostate GDS1673 Normal lung GDS1973 Prostate normal GDS2118-CD34+ Progenitors from a bone marrow GDS2609 Colon mucos, normal vs early cancer GDS2635 Normal vs cancer, microdissected Glia, normal vs cancer GSE3678 Thyroid norm vs cancer GSE4452 Multiple myeloma untreated GSE4845 melanoma, norm vs cancer GDS2615 Bronchial mucocilial cells GDS3045 Astrocytes GDS2737 Proliferative endometrium normal GSE4888 Endometrium normal GSE5060 Airway epithelium GSE5372 Large airway epithelium GSE5850 Normal oocytes GSE7807 Normal monocytes GSE7896 Embryonic stem cells GSE8514 Normal adrenal gland GSE8668 Neutrophils normal GSE8671 Normal colon mucosa, adenoma excluded GSE9894 Bobe marrow mesenchimal stem cells Heart Atrium Heart Ventricle Hep G2 cells Hippocampus Huvec cell lines Hypothalamus Joint tissue sinovium Kidney Liver Liver normal Lung Lymph nodes Medulla Midbrain Myometrium Nipple cross section Nodose nucleus Occipital lobe Oral mucosa Oral mucosa-1 Ovary Parietal lobe Penis normal Pharyngeal mucosa Pituitary Prifrontal cortex Prostate Putamen Salivary gland Skeletal muscle Skin Small intestine Spinal cord Spleen Stomach normal Substantia nigra Synovial membrane Temporal lobe Testes Thalamus Thyroid gland Tongue normal Tonsil Trachea Trigeminal ganglia Vagina Ventral tegmental area Vestibular nuclei superior Vulva normal

S2.2 Cancer expression, individual tissue environments:

Abdominal wall mass and peritoneum Appendix area Bladder Bone and cartilage Brain Breast Breast-2 Breast-3 Endometrium Esophagus Fallopian GSE2817 Glyoma GSE4452 Multiple myeloma untreated GSE4845 Melanoma Ileum and small intestine Jejunum Kidney-2 Kidney-3 Liver cancer Lung-2 Lung-3 Lung cancer Lymphatic node Myometrium cancer Omentum Ventral tegmental area Ovary-2 Omentum Muscle Pancreas Parotid gland Pelvic mass Penis Prostate Rectosigmoid Skin Rectum Renal pelvis Retroperitoneal mass and peritoneum , Spleen Stomach Stomach Testis Thyroid Tongue Ureter Uterus Uterus-2 Vulva cancer

S2.3 Paired datasets, comparing cancer and norm for the same tissue environments:

Adipose tissue, norm vs cancer Adrenal gland, norm vs cancer Bladder, norm vs cancer Breast, norm vs cancer Colon, norm vs cancer Endometrium, normal vs cancer Esophagus, normal vs cancer Fallopian tube, normal vs cancer GDS2609 Colon mucos, normal vs early cancer GDS2635 Normal vs cancer, microdissected Glia, normal vs cancer GSE3678 Thyroid norm vs cancer GSE4452 Multiple myeloma untreated GSE4845 melanoma, norm vs cancer Ileum and small intestine, norm vs cancer Kidney, norm vs cancer Liver, normal vs cancer Lung, normal vs cancer Lymphatic node, norm vs cancer, lymphoma Normal skin vs melanoma Myometrium, normal vs cancer Ovary, normal vs.cancer Pancreas, norm vs cancer Parotid gland, norm vs cancer Prostate, norm vs cancer Small intestine, norm vs cancer Stomach, normal vs cancer Thyroid gland, norm vs cancer Tongue, normal and cancer Urethra, normal vs cancer Vagina, normal vs cancer Vulva, normal vs cancer

S2.4 Integrated panel of differential expression:

Variation in different classes of anti-cancer targets

S3.1 Large-scale panel of normal variability data:

S3 Read-me S3.1.1 Variabilities and expression values, combined panel S3.1.2 Expression values S3.1.3 Variabilities, Z scores S3.1.4 Variabilities, Q-Q plot S3.1.5 Variabilities, high Z scores only S3.1.6 Panel avearged variability

S3.2.Comparison of variability in norm and cancer: initial datasets combined in the panel:

Adrenal gland, normal vs cancer Lung, normal vs cancer Prostate, normal vs cancer Small intestine, normal vs cancer GSE4452 Multiple myeloma, normal vs cancer Melanoma, normal skin vs cancer Stomach, normal vs cancer

S3.3 Comparison of variability in norm and cancer: variability in the form of MAX/MIN and RELVAR is computed for norm and cancer, MAX//MIN and RELVAR are computed and aligned with disease information:

MAX/MIN and RELVAR are computed for the panel of normal and cancer expression data

MAX/MIN and RELVAR in cancer and norm are computed and aligned with successful and proposed classes of cancer targets as well as with the class of non-cancer targets

MAX/MIN and RELVAR in cancer and norm are computed and aligned with data covering multiple diseases

S3.4 Comparison of multiple expression parameters in norm and cancer, MAX/MIN, RELVAR, DEXCON, Expression and large-scale variability panel data are all integrated and aligned with disease information:

Diverse expression parameters are aligned with different classes of anti-cancer targets

Diverse expression parameters are aligned with data covering participation in multiple chronic diseases

S4. Ontological analysis of the highest and lowest variability classes:

Ontological analysis of the highest and lowest variability classes

"Successful anti-cancer targets able to pass FDA review dmonstrate the identifiable signature distinct from the signatures of random genes and initially proposed targets" by A. Mayburd, I. Golovchikova and J. Mulshine

Contents and brief description of this site

Rationale, Methodology and Discussion

Example Postfolio

Appendix A

Appendix B

Appendix C

The contents of the Excel files below correspond to RD (Raw data) abbreviation in the main manuscript.

List of genes used in this project (for scoring system 1): Template

How many anti-cancer targets? S15: S15 Suggested anti-cancer targets 1 S15 Suggested anti-cancer targets 2