Matches in SemOpenAlex for { <https://semopenalex.org/work/W3036293826> ?p ?o ?g. }
- W3036293826 endingPage "1519" @default.
- W3036293826 startingPage "1507" @default.
- W3036293826 abstract "Abstract Acute myeloid leukemia is characterized by the accumulation of clonal myeloid blast cells unable to differentiate into mature leukocytes. Chemotherapy induces remission in the majority of patients, but relapse rates are high and lead to poor clinical outcomes. Because this is primarily caused by chemotherapy-resistant leukemic stem cells (LSCs), it is essential to eradicate LSCs to improve patient survival. LSCs have predominantly been studied at the transcript level, thus information about posttranscriptionally regulated genes and associated networks is lacking. Here, we extend our previous report on LSC proteomes to healthy age-matched hematopoietic stem and progenitor cells (HSPCs) and correlate the proteomes to the corresponding transcriptomes. By comparing LSCs to leukemic blasts and healthy HSPCs, we validate candidate LSC markers and highlight novel and potentially targetable proteins that are absent or only lowly expressed in HSPCs. In addition, our data provide strong evidence that LSCs harbor a characteristic energy metabolism, adhesion molecule composition, as well as RNA-processing properties. Furthermore, correlating proteome and transcript data of the same individual samples highlights the strength of proteome analyses, which are particularly potent in detecting alterations in metabolic pathways. In summary, our study provides a comprehensive proteomic and transcriptomic characterization of functionally validated LSCs, blasts, and healthy HSPCs, representing a valuable resource helping to design LSC-directed therapies." @default.
- W3036293826 created "2020-06-25" @default.
- W3036293826 creator A5003598036 @default.
- W3036293826 creator A5006122560 @default.
- W3036293826 creator A5017002895 @default.
- W3036293826 creator A5019957496 @default.
- W3036293826 creator A5028388949 @default.
- W3036293826 creator A5040956966 @default.
- W3036293826 creator A5045118783 @default.
- W3036293826 creator A5046801770 @default.
- W3036293826 creator A5048037192 @default.
- W3036293826 creator A5059492790 @default.
- W3036293826 creator A5060811966 @default.
- W3036293826 creator A5064559513 @default.
- W3036293826 creator A5064572407 @default.
- W3036293826 creator A5067574718 @default.
- W3036293826 creator A5069750818 @default.
- W3036293826 creator A5079877160 @default.
- W3036293826 creator A5080023449 @default.
- W3036293826 creator A5080967971 @default.
- W3036293826 creator A5081577791 @default.
- W3036293826 creator A5089091347 @default.
- W3036293826 creator A5089232109 @default.
- W3036293826 date "2020-09-24" @default.
- W3036293826 modified "2023-10-18" @default.
- W3036293826 title "Quantitative proteomics reveals specific metabolic features of acute myeloid leukemia stem cells" @default.
- W3036293826 cites W1563425389 @default.
- W3036293826 cites W1787222452 @default.
- W3036293826 cites W1967358345 @default.
- W3036293826 cites W1979050260 @default.
- W3036293826 cites W1982396632 @default.
- W3036293826 cites W1998321969 @default.
- W3036293826 cites W2002213310 @default.
- W3036293826 cites W2009886857 @default.
- W3036293826 cites W2014267867 @default.
- W3036293826 cites W2019199359 @default.
- W3036293826 cites W2047122678 @default.
- W3036293826 cites W2064484411 @default.
- W3036293826 cites W2073889874 @default.
- W3036293826 cites W2078972833 @default.
- W3036293826 cites W2088253442 @default.
- W3036293826 cites W2090982381 @default.
- W3036293826 cites W2102085111 @default.
- W3036293826 cites W2103121534 @default.
- W3036293826 cites W2118365328 @default.
- W3036293826 cites W2124348590 @default.
- W3036293826 cites W2126817554 @default.
- W3036293826 cites W2127738065 @default.
- W3036293826 cites W2135581618 @default.
- W3036293826 cites W2144892629 @default.
- W3036293826 cites W2158217645 @default.
- W3036293826 cites W2171172082 @default.
- W3036293826 cites W2177432730 @default.
- W3036293826 cites W2179438025 @default.
- W3036293826 cites W2337848504 @default.
- W3036293826 cites W2396911170 @default.
- W3036293826 cites W2419140434 @default.
- W3036293826 cites W2465917013 @default.
- W3036293826 cites W2473447250 @default.
- W3036293826 cites W2516282811 @default.
- W3036293826 cites W2520137439 @default.
- W3036293826 cites W2560012305 @default.
- W3036293826 cites W2567382369 @default.
- W3036293826 cites W2582199324 @default.
- W3036293826 cites W2585315580 @default.
- W3036293826 cites W2602169105 @default.
- W3036293826 cites W2602848567 @default.
- W3036293826 cites W2605757478 @default.
- W3036293826 cites W2681714461 @default.
- W3036293826 cites W2745111741 @default.
- W3036293826 cites W2768054923 @default.
- W3036293826 cites W2802700656 @default.
- W3036293826 cites W2891885918 @default.
- W3036293826 cites W2899472109 @default.
- W3036293826 cites W2900415591 @default.
- W3036293826 cites W2901585624 @default.
- W3036293826 cites W2916458303 @default.
- W3036293826 cites W2918686807 @default.
- W3036293826 cites W2920279938 @default.
- W3036293826 cites W2926366685 @default.
- W3036293826 cites W2943554095 @default.
- W3036293826 cites W2945249631 @default.
- W3036293826 cites W2956339027 @default.
- W3036293826 cites W2958014316 @default.
- W3036293826 cites W4231346141 @default.
- W3036293826 cites W4231876508 @default.
- W3036293826 doi "https://doi.org/10.1182/blood.2019003654" @default.
- W3036293826 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32556243" @default.
- W3036293826 hasPublicationYear "2020" @default.
- W3036293826 type Work @default.
- W3036293826 sameAs 3036293826 @default.
- W3036293826 citedByCount "44" @default.
- W3036293826 countsByYear W30362938262020 @default.
- W3036293826 countsByYear W30362938262021 @default.
- W3036293826 countsByYear W30362938262022 @default.
- W3036293826 countsByYear W30362938262023 @default.
- W3036293826 crossrefType "journal-article" @default.
- W3036293826 hasAuthorship W3036293826A5003598036 @default.