High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples - Wikidata - wikimedia - TriplyDB

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples

http://www.wikidata.org/entity/Q24652901

about

Multiwalled carbon nanotube-induced gene signatures in the mouse lung: potential predictive value for human lung cancer risk and prognosis Long Non-Coding RNAs: The Key Players in Glioma Pathogenesis KAP1 regulates gene networks controlling T-cell development and responsiveness.DNMT3A Mutations in Acute Myeloid Leukemia CRNDE: A Long Non-Coding RNA Involved in CanceR, Neurobiology, and DEvelopment Relationship between expression and methylation of obesity-related genes in children The origin and evolution of mutations in acute myeloid leukemia Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia.T-cell infiltration and clonality correlate with programmed cell death protein 1 and programmed death-ligand 1 expression in patients with soft tissue sarcomas.Comparison of Nanostring nCounter® Data on FFPE Colon Cancer Samples and Affymetrix Microarray Data on Matched Frozen Tissues.Higher HOPX expression is associated with distinct clinical and biological features and predicts poor prognosis in de novo acute myeloid leukemia A phase I dose escalation study of oral bexarotene in combination with intravenous decitabine in patients with AML.Pathway-specific analysis of gene expression data identifies the PI3K/Akt pathway as a novel therapeutic target in cervical cancer.Long intergenic non-coding RNA HOTAIRM1 regulates cell cycle progression during myeloid maturation in NB4 human promyelocytic leukemia cells.PU.1 is linking the glycolytic enzyme HK3 in neutrophil differentiation and survival of APL cells.Inhibition of long non-coding RNA NEAT1 impairs myeloid differentiation in acute promyelocytic leukemia cells.DSCR9 gene simultaneous expression in placental, testicular and renal tissues from baboon (Papio hamadryas).Gain of MYC underlies recurrent trisomy of the MYC chromosome in acute promyelocytic leukemia A multiplex assay to measure RNA transcripts of prostate cancer in urine.Expression and function of PML-RARA in the hematopoietic progenitor cells of Ctsg-PML-RARA mice Using digital RNA counting and flow cytometry to compare mRNA with protein expression in acute leukemias.Identification of KIF5B-RET and GOPC-ROS1 fusions in lung adenocarcinomas through a comprehensive mRNA-based screen for tyrosine kinase fusions.PML-RARA can increase hematopoietic self-renewal without causing a myeloproliferative disease in mice.Sequencing a mouse acute promyelocytic leukemia genome reveals genetic events relevant for disease progression Prognostic and biologic significance of DNMT3B expression in older patients with cytogenetically normal primary acute myeloid leukemia Expression and role of RIP140/NRIP1 in chronic lymphocytic leukemia.Differential niche and Wnt requirements during acute myeloid leukemia progression Annexin A8 identifies a subpopulation of transiently quiescent c-kit positive luminal progenitor cells of the ductal mammary epithelium.Dkk1 haploinsufficiency requires expression of Bmp2 for bone anabolic activity Establishment of a humanized APL model via the transplantation of PML-RARA-transduced human common myeloid progenitors into immunodeficient mice.Select microtubule inhibitors increase lysosome acidity and promote lysosomal disruption in acute myeloid leukemia (AML) cells.New strategies in hepatocellular carcinoma: genomic prognostic markers.Multiplexed digital quantification of binge-like alcohol-mediated alterations in maternal uterine angiogenic mRNA transcriptome.A critical appraisal of tools available for monitoring epigenetic changes in clinical samples from patients with myeloid malignancies.Transcriptional repression of CDKN2D by PML/RARα contributes to the altered proliferation and differentiation block of acute promyelocytic leukemia cells.Gene and protein analysis reveals that p53 pathway is functionally inactivated in cytogenetically normal Acute Myeloid Leukemia and Acute Promyelocytic Leukemia Meta-analysis approach as a gene selection method in class prediction: does it improve model performance? A case study in acute myeloid leukemia 4‑Phenylbutyrate protects rat skin flaps against ischemia‑reperfusion injury and apoptosis by inhibiting endoplasmic reticulum stress.Genomic impact of transient low-dose decitabine treatment on primary AML cells Phase II clinical and exploratory biomarker study of dacomitinib in recurrent and/or metastatic esophageal squamous cell carcinoma.

P2860

Q23918758-3FF29F9E-348A-4B82-B945-636FA4AF1263 Q26800873-8E6B514B-5177-41BA-9BD7-E2122D74128F Q27319505-F9BC70CD-D783-4BA1-94CF-291050FB128A Q27559610-C5C302FD-D3E8-45EE-96D5-CDE64E70578B Q28391523-FC103C70-BDB2-4F51-A359-AF5932181261 Q28393499-97260CC1-C325-462D-AF15-217E4FF9B4D2 Q29614630-46518682-489A-448F-9D5B-D21AD0F59A31 Q29615735-1EFA564D-F5EE-47D6-8B51-B07B66B4CE51 Q30491565-E00DF96D-8BDC-4599-90B4-0B61AD06BF06 Q31095892-E56CDA88-38C2-482A-B8D2-741331D8E478 Q33746724-F9085085-906B-44F1-97F3-08C1897C6F0B Q33939624-3D2EFCBB-327B-4A22-B346-3D551F74F8A4 Q34123402-41CDABB6-8B06-43CD-BC8A-59945F137769 Q34143034-B9CBDA39-77C8-4DA9-A353-6DAC95C370FA Q34267963-4476B52C-1A2E-4903-9C69-EB12C5FE9F81 Q34270770-F72BF3FD-637E-4726-B24F-2E3A2DC4DCDE Q34306604-EF5523DA-8AC5-4BC9-B056-D0FD0758E0C8 Q34340593-5D998D67-43E1-4FDB-8CA9-0BFFBAD5517E Q34429720-7E5E6EE6-DD9A-4481-85B3-7BF580E48375 Q34441594-8D524A80-AB88-4774-9BD8-A002DCB8B6CC Q34477671-2728E932-1244-4DA9-9F48-2CEB7F1E48C1 Q34522899-36FE7829-A790-4DBD-8625-07BD555A29DC Q34749039-BB218A8F-BAC9-44EB-BDA8-400249D0A348 Q34755408-C502209E-2D5F-46E7-B2F8-2C91EB8789F2 Q35152173-5AC6C23D-40DD-40AD-B228-079D88C9BEE5 Q35162589-D1FE1AD6-F795-4588-BF0A-C26C3D3BB052 Q35212397-7CA5F7FC-341C-4B28-9343-5758C9AC0633 Q35213733-B894F342-DC4D-4376-A2A8-DAACA4B689C3 Q35287547-19237CE3-D07D-4576-AD6D-DE0B7A6B4D1B Q35391634-95A7F9D1-91CE-4FD3-9E9D-34DDB4C421BB Q35592507-BF130F63-F03A-4C32-9608-4DC3D1BFB01E Q36090222-37D6595C-1C34-463B-9DF0-60D670FFDE46 Q36185501-8B2FBE09-03E2-4A45-9036-9CC1D7C73D2F Q36216230-997A6183-D73A-4952-94B9-723D7426A5A5 Q36291101-CA54F599-8649-4060-9AD6-974902D336F9 Q36322508-D165F56A-CC23-48B8-8730-7DF9E5C22E1A Q36343603-539D657B-F186-4173-B9CA-79AD32E949D8 Q36520252-4124FBCA-CCF3-4DF8-A0F1-26309DDCBF14 Q36654140-09629A07-5D79-4950-A6F0-85E2C08A39BE Q36689140-9AE0158C-8400-49DD-A453-97197108F9F2

P2860

High throughput digital quantification of mRNA abundance in primary human acute myeloid leukemia samples

http://www.wikidata.org/entity/Q24652901

description

2009 nî lūn-bûn

@nan

2009 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

High throughput digital quanti ...... acute myeloid leukemia samples

@ast

High throughput digital quanti ...... acute myeloid leukemia samples

@en

High throughput digital quanti ...... acute myeloid leukemia samples

@nl

type

label

High throughput digital quanti ...... acute myeloid leukemia samples

@ast

High throughput digital quanti ...... acute myeloid leukemia samples

@en

High throughput digital quanti ...... acute myeloid leukemia samples

@nl

prefLabel

High throughput digital quanti ...... acute myeloid leukemia samples

@ast

High throughput digital quanti ...... acute myeloid leukemia samples

@en

High throughput digital quanti ...... acute myeloid leukemia samples

@nl

P1433

Q24652901-2878F8C6-DAB9-43A5-83F3-9C45957F8D5C

P1476

Q24652901-3039C235-D547-4E5C-AA16-3DA2BCE970C9

P2093

Q24652901-4859E967-5D95-4B85-BF46-684F32D55F8D

Q24652901-68F222A2-E72C-444E-982B-43FD84DF04A3

Q24652901-6BD30334-BC7E-4324-AD6C-325C3091F345

Q24652901-766278AB-2B81-4CB9-8D68-318F01664BCB

Q24652901-8C8D4E1A-5E79-4C40-9777-D45AED4C07FD

Q24652901-A2DE6D06-A1F3-4116-93B7-8CC35A872FFB

Q24652901-E16C756A-DFF8-4DDB-B9E4-AB7F6EF9C72D

Q24652901-EFCFE9AC-89CD-4824-A5F9-69C34587508C

P2860

Q24652901-01F469DC-817A-48F6-BF54-38869A191BF0

Q24652901-04AEDC08-CACF-42C5-90C2-4017F376C97E

Q24652901-258AE097-F989-4CDB-9B8F-3C179D42702B

Q24652901-2CF3A91B-D8B9-487E-8162-47D5613E570A

Q24652901-3D370B6E-3CFD-4137-943C-858354FFCD6E

Q24652901-3E15DDD0-6C79-434A-B7F4-988A269768EB

Q24652901-4B0BFE28-8041-4B23-BFFF-30E6AA5A2ED4

Q24652901-53B8569A-66C9-4C47-B42B-FEE331085D6E

Q24652901-5580F15E-3133-4D35-863B-DBB53465365E

Q24652901-5800303A-DDCC-46F9-82F4-44DD186E1D3E

P304

Q24652901-2102AABB-688D-452D-87CB-7380CB239046

P31

Q24652901-081596B6-571C-40B2-9444-A0F8D93ECB67

P3181

Q24652901-5D9188B1-9F42-413E-94B9-0B10D5713EAE

P356

Q24652901-C6F187F0-24AA-4DF3-911D-36B1C8FA5680

P407

Q24652901-06A00441-3E4B-44A4-8E2D-110C0E4ED644

P433

Q24652901-9E6C833F-1645-469E-925D-09BFF85BDAA8

P478

Q24652901-11C9C266-D66C-4C46-A703-B70678E977BC

P50

Q24652901-E26D0777-A638-48E3-8D1E-7BBB6EC61D92

P577

Q24652901-26763423-E24D-4A46-A09C-5EA71070F364

P698

Q24652901-C050974D-A786-4262-A586-A227126AF557

P921

Q24652901-106F4644-8A54-4236-BCE9-4838FBDB0421

P932

Q24652901-C77C151C-99A5-4B6F-96DF-14F53BC8D828

P3181

P356

P1433

Journal of Clinical Investigation

P1476

High throughput digital quanti ...... acute myeloid leukemia samples

@en

P2093

Daniel C Link

http://www.w3.org/2001/XMLSchema#string

Gary K Geiss

http://www.w3.org/2001/XMLSchema#string

Jacqueline E Payton

http://www.w3.org/2001/XMLSchema#string

Li-Wei Chang

http://www.w3.org/2001/XMLSchema#string

Mark A Watson

http://www.w3.org/2001/XMLSchema#string

Mark Murakami

http://www.w3.org/2001/XMLSchema#string

Rakesh Nagarajan

http://www.w3.org/2001/XMLSchema#string

Timothy J Ley

http://www.w3.org/2001/XMLSchema#string

P2860

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Significance analysis of microarrays applied to the ionizing radiation response

PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes

Direct multiplexed measurement of gene expression with color-coded probe pairs

Gene expression profiles in acute myeloid leukemia with common translocations using SAGE.

Acute myeloid leukemias with reciprocal rearrangements can be distinguished by specific gene expression profiles

Cytogenetics in acute leukemia.

Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia.

Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction.

Distinct patterns of mutations occurring in de novo AML versus AML arising in the setting of severe congenital neutropenia.

P304

1714-1726

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P3181

1661644

http://www.w3.org/2001/XMLSchema#string

P356

10.1172/JCI38248

http://www.w3.org/2001/XMLSchema#string

P407

P433

6

http://www.w3.org/2001/XMLSchema#string

P478

119

http://www.w3.org/2001/XMLSchema#string

P50

Nicole R Grieselhuber

P577

2009-05-18T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

19451695

http://www.w3.org/2001/XMLSchema#string

P921

P932

2689138

http://www.w3.org/2001/XMLSchema#string