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2017-10-02

Fig 1. CRC liver metastases can be hypervascular on angiography, allowing selective intraarterial delivery of particles into tumor.

Fig 1. CRC liver metastases can be hypervascular on angiography, allowing selective intraarterial delivery of particles into tumor.
  • Boas FE, Bodei L, Sofocleous CT

  • J Nucl Med. 2017 Sep;58(Suppl 2):104S-111S.

2017-10-03

Fig 5. Downregulation of FOSL1 sensitizes Ishikawa cells to JQ1 treatment.

Fig 5. Downregulation of FOSL1 sensitizes Ishikawa cells to JQ1 treatment.
  • Janouskova H, El Tekle G, Bellini E, Udeshi ND, Rinaldi A, Ulbricht A, Bernasocchi T, Civenni G, Losa M, Svinkina T, Bielski CM

  • Nat Med. 2017 Sep;23(9):1046-1054.

2017-10-04

Fig 1. Graphic of MET/HGF system illustrating therapeutic approaches currently used to target it (top), including HGF-binding/neutralizing antibodies, MET-binding antagonists, and MET tyrosine kinase inhibitors, and depiction of antibodies tagged with radioactive metal (89Zr) for use in immuno-PET of HGF/MET+ cancers (bottom).

Fig 1. Graphic of MET/HGF system illustrating therapeutic approaches currently used to target it (top), including HGF-binding/neutralizing antibodies, MET-binding antagonists, and MET tyrosine kinase inhibitors, and depiction of antibodies tagged with radioactive metal (89Zr) for use in immuno-PET of HGF/MET+ cancers (bottom).
  • Price EW, Carnazza KE, Carlin SD, Cho A, Edwards KJ, Sevak KK, Glaser JM, de Stanchina E, Janjigian YY, Lewis JS

  • J Nucl Med. 2017 Sep;58(9):1386-1394.

2017-10-05

Fig 4. Correlative studies.

Fig 4. Correlative studies.
  • Badros A, Hyjek E, Ma N, Lesokhin A, Dogan A, Rapoport AP, Kocoglu M, Lederer E, Philip S, Milliron T, Dell C

  • Blood. 2017 Sep 7;130(10):1189-1197.

2017-10-06

Fig 2. Overview of the MSK-IMPACT cohort.

Fig 2. Overview of the MSK-IMPACT cohort.
  • Zehir A, Benayed R, Shah RH, Syed A, Middha S, Kim HR, Srinivasan P, Gao J, Chakravarty D, Devlin SM, Hellmann MD

  • Nat Med. 2017 Jun;23(6):703-713.

2017-10-09

Fig 9. Model for replication stress and its aftermath in the absence of BRCA2.

Fig 9. Model for replication stress and its aftermath in the absence of BRCA2.
  • Feng W, Jasin M

  • Nat Commun. 2017 Sep 13;8(1):525.
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2017-10-10

Fig 4. Patient with metastatic pheochromocytoma presented with progression of disease.

Fig 4. Patient with metastatic pheochromocytoma presented with progression of disease.
  • Pandit-Taskar N, Modak S

  • J Nucl Med. 2017 Sep;58(Suppl 2):39S-53S.

2017-10-11

Fig 1. The p53 Network.

Fig 1. The p53 Network.
  • Kastenhuber ER, Lowe SW

  • Cell. 2017 Sep 7;170(6):1062-1078.

2017-10-12

Fig 1. The enteric virome and allo-HSCT.

Fig 1. The enteric virome and allo-HSCT.
  • Takashima S, Hanash AM

  • Nat Med. 2017 Sep 8;23(9):1012-1013.

2017-10-13

Fig 2D. Hepatic tumors in two patients with colorectal cancer metastases to liver.

Fig 2D. Hepatic tumors in two patients with colorectal cancer metastases to liver.
  • Dunphy M, Pandit-Taskar N, Fox JJ, Kemeny N

  • AJR Am J Roentgenol. 2017 Jul;209(1):182-186.

2017-10-16

Fig 3. BIR1 levels regulate A. fumigatus virulence.

Fig 3. BIR1 levels regulate A. fumigatus virulence.
  • Shlezinger N, Irmer H, Dhingra S, Beattie SR, Cramer RA, Braus GH, Sharon A, Hohl TM

  • Science. 2017 Sep 8;357(6355):1037-1041.

2017-10-18

Fig 1. Genomically matched clinical trials.

Fig 1. Genomically matched clinical trials.
  • Schram AM, Reales D, Galle J, Cambria R, Durany R, Feldman D, Sherman E, Rosenberg J, D’Andrea G, Baxi S, Janjigian Y

  • Ann Oncol. 2017 Sep 1;28(9):2298-2304.

2017-10-19

Fig 1. Waterfall plot of best response per RECIST v1 (n = 34).

Fig 1. Waterfall plot of best response per RECIST v1 (n = 34).
  • Dunn LA, Fury MG, Xiao H, Baxi SS, Sherman EJ, Korte S, Pfister C, Haque S, Katabi N, Ho AL, Pfister DG

  • Ann Oncol. 2017 Oct 1;28(10):2533-2538.

2017-10-20

Fig 3. Genome-wide Mutation Signatures in Ten Metastatic or Locally Relapsed Breast Cancers Annotated to Phylogenetic Trees.

Fig 3. Genome-wide Mutation Signatures in Ten Metastatic or Locally Relapsed Breast Cancers Annotated to Phylogenetic Trees.
  • Yates LR, Knappskog S, Wedge D, Farmery JH, Gonzalez S, Martincorena I, Alexandrov LB, Van Loo P, Haugland HK, Lilleng PK, Gundem G

  • Cancer Cell. 2017 Aug 14;32(2):169-184.e7.

2017-10-23

Fig 4. Golgi cisternae.

Fig 4. Golgi cisternae.
  • Martínez-Martínez N, Martínez-Alonso E, Tomás M, Neumüller J, Pavelka M, Martínez-Menárguez JA

  • PLoS One. 2017 Sep 28;12(9):e0185557.
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2017-10-24

Fig 4. Frequency plot representing regions of amplification (red) and deletion (blue).

Fig 4. Frequency plot representing regions of amplification (red) and deletion (blue).
  • Camacho N, Van Loo P, Edwards S, Kay JD, Matthews L, Haase K, Clark J, Dennis N, Thomas S, Kremeyer B, Zamora J

  • PLoS Genet. 2017 Sep 25;13(9):e1007001.
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2017-10-25

Fig 2. Antigen distribution pie graphs for each patient by histologic subtype.

Fig 2. Antigen distribution pie graphs for each patient by histologic subtype.
  • Eguchi T, Kadota K, Mayor M, Zauderer MG, Rimner A, Rusch VW, Travis WD, Sadelain M, Adusumilli PS

  • Oncotarget. 2017; 8:77872-77882.
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2017-10-26

Fig 3. CMASS Enhancement Patterns Identified by LGE-CMR.

Fig 3. CMASS Enhancement Patterns Identified by LGE-CMR.
  • Chan AT, Plodkowski AJ, Pun SC, Lakhman Y, Halpenny DF, Kim J, Goldburg SR, Matasar MJ, Moskowitz CS, Gupta D, Steingart R

  • J Cardiovasc Magn Reson. 2017 Oct 12;19(1):76.
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2017-10-27

Fig 7. Combined architecture of direct small molecule and indirect transcriptional regulation via endogenous metabolites in E. coli.

Fig 7. Combined architecture of direct small molecule and indirect transcriptional regulation via endogenous metabolites in E. coli.
  • Reznik E, Christodoulou D, Goldford JE, Briars E, Sauer U, Segrè D, Noor E

  • Cell Rep. 2017 Sep 12;20(11):2666-2677.
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2017-10-30

Fig 2. CV1 dose-response effects in vivo.

Fig 2. CV1 dose-response effects in vivo.
  • Mathias M, Sockolosky J, Chang A, Liu C, Garcia K, Scheinberg D

  • Leukemia. 2017 Oct;31(10):2254-2257.

2017-10-31

Fig 2. Signalling pathways and physiological domains that are the focus of experimental targeted therapies for small-cell lung cancer (SCLC).

Fig 2. Signalling pathways and physiological domains that are the focus of experimental targeted therapies for small-cell lung cancer (SCLC).
  • Sabari JK, Lok BH, Laird JH, Poirier JT, Rudin CM

  • Nat Rev Clin Oncol. 2017 Sep;14(9):549-561.

2017-11-01

Fig 1. Integrated physiological response to acute exercise.

Fig 1. Integrated physiological response to acute exercise.
  • Koelwyn GJ, Quail DF, Zhang X, White RM, Jones LW

  • Nat Rev Cancer. 2017 Sep 25;17(10):545-549.

2017-11-02

Fig 1. Schematic overview of 89Zr‐TCO‐liposome uptake via bioorthogonal inverse electron‐demand Diels–Alder click reaction.

Fig 1. Schematic overview of 89Zr‐TCO‐liposome uptake via bioorthogonal inverse electron‐demand Diels–Alder click reaction.
  • Brand C, Iacono P, Pérez-Medina C, Mulder WJM, Kircher MF, Reiner T

  • ChemistryOpen. 2017 Aug 7;6(5):615-619.
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2017-11-03

Fig 1. Muc16ecto specific CAR T cells modified to secrete IL-12 elaborate more inflammatory cytokines, exhibit improved proliferation, increased cytotoxicity and decreased apoptosis in vitro.

Fig 1. Muc16ecto specific CAR T cells modified to secrete IL-12 elaborate more inflammatory cytokines, exhibit improved proliferation, increased cytotoxicity and decreased apoptosis in vitro.
  • Yeku OO, Purdon TJ, Koneru M, Spriggs D, Brentjens RJ

  • Sci Rep. 2017 Sep 5;7(1):10541.
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2017-11-06

Fig 2. Long Stretches of ssDNA on the Leading-Strand Template Coated with RPA Are Detected in rad53-1 Mutation Cells during Replication Stress.

Fig 2. Long Stretches of ssDNA on the Leading-Strand Template Coated with RPA Are Detected in rad53-1 Mutation Cells during Replication Stress.
  • Gan H, Yu C, Devbhandari S, Sharma S, Han J, Chabes A, Remus D, Zhang Z

  • Mol Cell. 2017 Oct 19;68(2):446-455.e3.

2017-11-07

Fig 4. Structural mimicry of GPCR ligands.

Fig 4. Structural mimicry of GPCR ligands.
  • Cohen LJ, Esterhazy D, Kim SH, Lemetre C, Aguilar RR, Gordon EA, Pickard AJ, Cross JR, Emiliano AB, Han SM, Chu J

  • Nature. 2017 Sep 7;549(7670):48-53.

2017-11-08

Fig S3. RNA/DNA Conformation, Recognition, and Potential Paths, Related to Figures 2 and 3.

Fig S3. RNA/DNA Conformation, Recognition, and Potential Paths, Related to Figures 2 and 3.
  • Guo TW, Bartesaghi A, Yang H, Falconieri V, Rao P, Merk A, Eng ET, Raczkowski AM, Fox T, Earl LA, Patel DJ, Subramaniam S

  • Cell. 2017 Oct 5;171(2):414-426.e12.

2017-11-09

Fig 5. Increased β-catenin activation in gastric tumors from Tcon mice.

Fig 5. Increased β-catenin activation in gastric tumors from Tcon mice.
  • Till JE, Yoon C, Kim BJ, Roby K, Addai P, Jonokuchi E, Tang LH, Yoon SS, Ryeom S

  • Cancer Res. 2017 Oct 1;77(19):5349-5359.

2017-11-10

Fig 3. Contouring session in MIM displaying multiple MRs simultaneously.

Fig 3. Contouring session in MIM displaying multiple MRs simultaneously.
  • Tyagi N, Fontenla S, Zelefsky M, Chong-Ton M, Ostergren K, Shah N, Warner L, Kadbi M, Mechalakos J, Hunt M

  • Radiat Oncol. 2017 Jul 17;12(1):119.
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2017-11-13

Fig 1. Low-grade and high-grade histologic types of triple-negative breast carcinomas (TNBCs).

Fig 1. Low-grade and high-grade histologic types of triple-negative breast carcinomas (TNBCs).
  • Geyer FC, Pareja F, Weigelt B, Rakha E, Ellis IO, Schnitt SJ, Reis-Filho JS

  • Am J Pathol. 2017 Oct;187(10):2139-2151.

2017-11-14

Fig 2. Overview of the automated 2D chromatography system.

Fig 2. Overview of the automated 2D chromatography system.
  • Cifani P, Kentsis A

  • Mol Cell Proteomics. 2017 Nov;16(11):2006-2016.

2017-11-15

Fig 3. Intermolecular contacts and bound Mg2+ ions at the C62–A63 cleavage site in the structure of the twister-sister ribozyme.

Fig 3. Intermolecular contacts and bound Mg2+ ions at the C62–A63 cleavage site in the structure of the twister-sister ribozyme.
  • Zheng L, Mairhofer E, Teplova M, Zhang Y, Ma J, Patel DJ, Micura R, Ren A

  • Nat Commun. 2017 Oct 30;8(1):1180.
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2017-11-16

Fig 1. Procedures for discovery and validation of biomarkers.

Fig 1. Procedures for discovery and validation of biomarkers.
  • Masucci GV, Cesano A, Eggermont A, Fox BA, Wang E, Marincola FM, Ciliberto G, Dobbin K, Puzanov I, Taube J, Wargo J

  • J Transl Med. 2017 Nov 3;15(1):223.
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2017-11-17

Fig 3. In vivo MRI of cellular iron(III) of PCa models.

Fig 3. In vivo MRI of cellular iron(III) of PCa models.
  • Leftin A, Zhao H, Turkekul M, de Stanchina E, Manova K, Koutcher JA

  • Sci Rep. 2017 Sep 14;7(1):11632.
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2017-11-20

Fig 4. Recapitulation of poor Apoptosis, Imbalance of ROS/Glutathione Homeostasis, and Poor DNA Damage Response in ESCs by shRNA EXOSC2/8 Expression.

Fig 4. Recapitulation of poor Apoptosis, Imbalance of ROS/Glutathione Homeostasis, and Poor DNA Damage Response in ESCs by shRNA EXOSC2/8 Expression.
  • Skamagki M, Zhang C, Ross CA, Ananthanarayanan A, Liu Z, Mu Q, Basu U, Wang J, Zhao R, Li H, Kim K

  • Stem Cell Reports. 2017 Oct 10;9(4):1053-1061.
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2017-11-21

Fig 5. Analyses of DAXX-dependent and histone H3.3-dependent gene expression in mESCs.

Fig 5. Analyses of DAXX-dependent and histone H3.3-dependent gene expression in mESCs.
  • Hoelper D, Huang H, Jain AY, Patel DJ, Lewis PW

  • Nat Commun. 2017 Oct 30;8(1):1193.
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2017-11-22

Fig 4. GABPα-dependent transcriptional program in T cells.

Fig 4. GABPα-dependent transcriptional program in T cells.
  • Luo CT, Osmanbeyoglu HU, Do MH, Bivona MR, Toure A, Kang D, Xie Y, Leslie CS, Li MO

  • Nat Commun. 2017 Oct 20;8(1):1062.
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2017-11-24

Fig 2. Class 3 BRAF mutants bind more avidly than wild type to active RAS and signal as dimers.

Fig 2. Class 3 BRAF mutants bind more avidly than wild type to active RAS and signal as dimers.
  • Yao Z, Yaeger R, Rodrik-Outmezguine VS, Tao A, Torres NM, Chang MT, Drosten M, Zhao H, Cecchi F, Hembrough T, Michels J

  • Nature. 2017 Aug 10;548(7666):234-238.

2017-11-27

Fig 2. CT imaging of the chest, abdomen, and pelvis demonstrates omental calcification/ossification, extensive peritoneal calcification/ossification, and calcified/ossified psoas masses.

Fig 2. CT imaging of the chest, abdomen, and pelvis demonstrates omental calcification/ossification, extensive peritoneal calcification/ossification, and calcified/ossified psoas masses.
  • Berhe S, Danzer E, Meyers P, Behr G, LaQuaglia MP, Price AP

  • J Pediatr Surg Case Rep. 2018 Jan;28:13-16.
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2017-11-28

Fig 5. 3D bar diagram summarizing tumoral uptake values (Z-axis) for all evaluated radioligands at 2 h p.i.

Fig 5. 3D bar diagram summarizing tumoral uptake values (Z-axis) for all evaluated radioligands at 2 h p.i.
  • Meyer JP, Kozlowski P, Jackson J, Cunanan KM, Adumeau P, Dilling TR, Zeglis BM, Lewis JS

  • J Med Chem. 2017 Oct 12;60(19):8201-8217.

2017-11-29

Fig 2. Distribution of evofosfamide in tumors relative to pimonidazole (green).

Fig 2. Distribution of evofosfamide in tumors relative to pimonidazole (green).
  • Hajj C, Russell J, Hart CP, Goodman KA, Lowery MA, Haimovitz-Friedman A, Deasy JO, Humm JL

  • Transl Oncol. 2017 Oct;10(5):760-765.
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2017-11-30

Fig 3. Radiation treatment plans for myelitis cases.

Fig 3. Radiation treatment plans for myelitis cases.
  • Katsoulakis E, Jackson A, Cox B, Lovelock M, Yamada Y

  • International Journal of Radiation Oncology Biology Physics. 2017 Nov 1;99(3):598-607.

2017-12-01

Fig 7. The role of FGFR1-PLAG1 and TGFBR3-PLAG1 in MECA development.

Fig 7. The role of FGFR1-PLAG1 and TGFBR3-PLAG1 in MECA development.
  • Dalin M, Katabi N, Persson M, Lee KW, Makarov V, Desrichard A, Walsh L, West L, Nadeem Z, Ramaswami D, Havel J

  • Nat Commun. 2017 Oct 30;8(1):1197.
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2017-12-04

Fig 2. Melanoma brain metastasis response to concurrent SRS and pembrolizumab.

Fig 2. Melanoma brain metastasis response to concurrent SRS and pembrolizumab.
  • Anderson ES, Postow MA, Wolchok JD, Young RJ, Ballangrud Å, Chan TA, Yamada Y, Beal K

  • J Immunother Cancer. 2017 Oct 17;5(1):76.

2017-12-05

Fig 3. Schematic representation of the EGFR signaling pathway.

Fig 3. Schematic representation of the EGFR signaling pathway.
  • Vakiani E

  • Surg Pathol Clin. 2017 Dec;10(4):1009-1020.

2017-12-06

Fig 4. CTC phenotypic features, cell subtype classifications, and Shannon index of CTC phenotypic entropy in patient samples.

Fig 4. CTC phenotypic features, cell subtype classifications, and Shannon index of CTC phenotypic entropy in patient samples.
  • Scher HI, Graf RP, Schreiber NA, McLaughlin B, Jendrisak A, Wang Y, Lee J, Greene S, Krupa R, Lu D, Bamford P

  • Cancer Res. 2017 Oct 15;77(20):5687-5698.

2017-12-07

Fig 5. Demonstration of the extent of mismatch at 8 HLA alleles of CB units selected based on 4 to 6/6 HLA-A, -B antigen, and -DRB1 allele donor–recipient HLA match (n = 377) [37]. The 4 to 6/6 HLA-A, -B antigen, -DRB1 allele donor–recipient match to the patient is shown.

Fig 5. Demonstration of the extent of mismatch at 8 HLA alleles of CB units selected based on 4 to 6/6 HLA-A, -B antigen, and -DRB1 allele donor–recipient HLA match (n = 377) [37]. The 4 to 6/6 HLA-A, -B antigen, -DRB1 allele donor–recipient match to the patient is shown.
  • Barker JN, Kurtzberg J, Ballen K, Boo M, Brunstein C, Cutler C, Horwitz M, Milano F, Olson A, Spellman S, Wagner JE, Delaney C, Shpall E

  • Biol Blood Marrow Transplant. 2017 Jun;23(6):882-896.

2017-12-08

Fig 1. Somatic mutations observed. Heatmap showing the 30 genes most frequently affected by mutations in 98 tumors subjected to targeted massively parallel sequencing from 49 patients with CBC.

Fig 1. Somatic mutations observed. Heatmap showing the 30 genes most frequently affected by mutations in 98 tumors subjected to targeted massively parallel sequencing from 49 patients with CBC.
  • Begg CB, Ostrovnaya I, Geyer FC, Papanastasiou AD, Ng CK, Sakr RA, Bernstein JL, Burke KA, King TA, Piscuoglio S, Mauguen A

  • Int J Cancer. 2018 Jan 15;142(2):347-356.

2017-12-12

Fig 1.  ISH analysis of LGR5 expression in normal human small and large intestine.

Fig 1. ISH analysis of LGR5 expression in normal human small and large intestine.
  • Martin ML, Zeng Z, Adileh M, Jacobo A, Li C, Vakiani E, Hua G, Zhang L, Haimovitz-Friedman A, Fuks Z, Kolesnick R

  • Cell Signal. 2017 Sep 25;42:97-105.

2017-12-13

Fig 2. Ternary crystal structure of cGAS with dsDNA and RU.365.

Fig 2. Ternary crystal structure of cGAS with dsDNA and RU.365.
  • Vincent J, Adura C, Gao P, Luz A, Lama L, Asano Y, Okamoto R, Imaeda T, Aida J, Rothamel K, Gogakos T, Steinberg J, Reasoner S, Aso K, Tuschl T, Patel DJ, Glickman JF, Ascano M

  • Nat Commun. 2017 Sep 29;8(1):750.
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2017-12-14

Fig 2. Benchmarking SplashRNA prediction performance.

Fig 2. Benchmarking SplashRNA prediction performance.
  • Pelossof R, Fairchild L, Huang CH, Widmer C, Sreedharan VT, Sinha N, Lai DY, Guan Y, Premsrirut PK, Tschaharganeh DF, Hoffmann T

  • Nat Biotechnol. 2017 Apr;35(4):350-353.

2017-12-15

Fig 3. Hyperactive MAPK signalling triggers bronchiolar carcinoma by transdifferentiation of club cells.

Fig 3. Hyperactive MAPK signalling triggers bronchiolar carcinoma by transdifferentiation of club cells.
  • Nieto P, Ambrogio C, Esteban-Burgos L, Gómez-López G, Blasco MT, Yao Z, Marais R, Rosen N, Chiarle R, Pisano DG, Barbacid M

  • Nature. 2017 Aug 10;548(7666):239-243.

2017-12-18

Fig 1. Kaplan-Meier curves comparing the original and new melanoma-GPA.

Fig 1. Kaplan-Meier curves comparing the original and new melanoma-GPA.
  • Sperduto PW, Jiang W, Brown PD, Braunstein S, Sneed P, Wattson DA, Shih HA, Bangdiwala A, Shanley R, Lockney NA, Beal K

  • Int J Radiat Oncol Biol Phys. 2017 Nov 15;99(4):812-816.

2017-12-19

Fig 2. Alpha-synuclein oligomers and cytosolic DA amplify each other and synergistically contribute to oxidative stress.

Fig 2. Alpha-synuclein oligomers and cytosolic DA amplify each other and synergistically contribute to oxidative stress.
  • Puspita L, Chung SY, Shim JW

  • Mol Brain. 2017 Nov 28;10(1):53.
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2017-12-20

Fig 5. Detection of endolysosomal lipid accumulation in live cells.

Fig 5. Detection of endolysosomal lipid accumulation in live cells.
  • Jena PV, Roxbury D, Galassi TV, Akkari L, Horoszko CP, Iaea DB, Budhathoki-Uprety J, Pipalia NH, Haka AS, Harvey JD, Mittal J, Maxfield FR, Joyce JA, Heller DA

  • ACS Nano. 2017 Nov 28;11(11):10689-10703.

2017-12-21

Fig 4. Distribution of expected variants vs. incidental pathogenic variants.

Fig 4. Distribution of expected variants vs. incidental pathogenic variants.
  • Cheng DT, Prasad M, Chekaluk Y, Benayed R, Sadowska J, Zehir A, Syed A, Wang YE, Somar J, Li Y, Yelskaya Z

  • BMC Med Genomics. 2017 May 19;10(1):33.
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2017-12-22

Fig 1. Azacitidine Synergizes with Sequential HDACi for Reducing Cell Proliferation.

Fig 1. Azacitidine Synergizes with Sequential HDACi for Reducing Cell Proliferation.
  • Topper MJ, Vaz M, Chiappinelli KB, DeStefano Shields CE, Niknafs N, Yen RC, Wenzel A, Hicks J, Ballew M, Stone M, Tran PT, Zahnow CA, Hellmann MD, Anagnostou V, Strissel PL, Strick R, Velculescu VE, Baylin SB

  • Cell. 2017 Nov 30;171(6):1284-1300.e21.

2017-12-26

Fig 7. Differential utilization of GRIP1 phosphorylation at GR-regulated genes.

Fig 7. Differential utilization of GRIP1 phosphorylation at GR-regulated genes.
  • Tharmalingam B, Rollins DA, Rogatsky I, Kharlyngdoh JB, Coppo M, Sacta MA, Pufall MA, Fisher RP, Mimouna S, Hu X, Chinenov Y

  • Nat Commun. 2017 Nov 23;8(1):1739.
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2017-12-27

Fig 6. Ketamine enhances ERK signaling pathway.

Fig 6. Ketamine enhances ERK signaling pathway.
  • Ma Z, Zang T, Birnbaum SG, Wang Z, Johnson JE, Zhang CL, Parada LF

  • Nat Commun. 2017 Nov 21;8(1):1668.
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2017-12-28

Fig 2. Diagnostic algorithm for the evaluation of high-grade (G3) pancreatic neuroendocrine neoplasms. In select cases of high-grade pancreatic neuroendocrine neoplasms, distinguishing between pancreatic neuroendocrine tumours (PanNETs) and pancreatic neuroendocrine carcinomas (PanNECs) can be challenging, but applying an algorithmic approach can facilitate an accurate diagnosis. This approach relies upon integrating associated clinical, imaging and laboratory data, a thorough pathological review of the specimen and prior specimens and immunohistochemical ancillary studies. Adapted from Tang et al.

Fig 2. Diagnostic algorithm for the evaluation of high-grade (G3) pancreatic neuroendocrine neoplasms. In select cases of high-grade pancreatic neuroendocrine neoplasms, distinguishing between pancreatic neuroendocrine tumours (PanNETs) and pancreatic neuroendocrine carcinomas (PanNECs) can be challenging, but applying an algorithmic approach can facilitate an accurate diagnosis. This approach relies upon integrating associated clinical, imaging and laboratory data, a thorough pathological review of the specimen and prior specimens and immunohistochemical ancillary studies. Adapted from Tang et al.
  • Singhi AD, Klimstra DS

  • Histopathology. 2018 Jan;72(1):168-177.

2017-12-29

Graphical Abstract

Graphical Abstract
  • Seegar TCM, Killingsworth LB, Saha N, Meyer PA, Patra D, Zimmerman B, Janes PW, Rubinstein E, Nikolov DB, Skiniotis G, Kruse AC, Blacklow SC

  • Cell. 2017 Dec 14;171(7):1638-1648.e7.