Matches in SemOpenAlex for { <https://semopenalex.org/work/W4205672264> ?p ?o ?g. }
- W4205672264 abstract "As sequencing technology improves, the identification of new disease-associated genes and new alleles of known genes is rapidly increasing our understanding of the genetic underpinnings of rare diseases, including neuromuscular diseases. However, precisely because these disorders are rare and often heterogeneous, they are difficult to study in patient populations. In parallel, our ability to engineer the genomes of model organisms, such as mice or rats, has gotten increasingly efficient through techniques such as CRISPR/Cas9 genome editing, allowing the creation of precision human disease models. Such in vivo model systems provide an efficient means for exploring disease mechanisms and identifying therapeutic strategies. Furthermore, animal models provide a platform for preclinical studies to test the efficacy of those strategies. Determining whether the same mechanisms are involved in the human disease and confirming relevant parameters for treatment ideally involves a human experimental system. One system currently being used is induced pluripotent stem cells (iPSCs), which can then be differentiated into the relevant cell type(s) for in vitro confirmation of disease mechanisms and variables such as target engagement. Here we provide a demonstration of these approaches using the example of tRNA-synthetase-associated inherited peripheral neuropathies, rare forms of Charcot-Marie-Tooth disease (CMT). Mouse models have led to a better understanding of both the genetic and cellular mechanisms underlying the disease. To determine if the mechanisms are similar in human cells, we will use genetically engineered iPSC-based models. This will allow comparisons of different CMT-associated GARS alleles in the same genetic background, reducing the variability found between patient samples and simplifying the availability of cell-based models for a rare disease. The necessity of integrating mouse and human models, strategies for accomplishing this integration, and the challenges of doing it at scale are discussed using recently published work detailing the cellular mechanisms underlying GARS-associated CMT as a framework." @default.
- W4205672264 created "2022-01-25" @default.
- W4205672264 creator A5032743069 @default.
- W4205672264 creator A5034780971 @default.
- W4205672264 creator A5039133363 @default.
- W4205672264 creator A5071882564 @default.
- W4205672264 date "2022-01-03" @default.
- W4205672264 modified "2023-09-25" @default.
- W4205672264 title "An Integrated Approach to Studying Rare Neuromuscular Diseases Using Animal and Human Cell-Based Models" @default.
- W4205672264 cites W1508830748 @default.
- W4205672264 cites W1518473490 @default.
- W4205672264 cites W1533438796 @default.
- W4205672264 cites W1840470014 @default.
- W4205672264 cites W1858745229 @default.
- W4205672264 cites W1866665915 @default.
- W4205672264 cites W1973312149 @default.
- W4205672264 cites W1974432810 @default.
- W4205672264 cites W1980438612 @default.
- W4205672264 cites W1982067416 @default.
- W4205672264 cites W1983859619 @default.
- W4205672264 cites W1995775084 @default.
- W4205672264 cites W2004958626 @default.
- W4205672264 cites W2028337350 @default.
- W4205672264 cites W2031700674 @default.
- W4205672264 cites W2032806627 @default.
- W4205672264 cites W2040724884 @default.
- W4205672264 cites W2047799186 @default.
- W4205672264 cites W2061144812 @default.
- W4205672264 cites W2061311846 @default.
- W4205672264 cites W2071163827 @default.
- W4205672264 cites W2074608960 @default.
- W4205672264 cites W2101687573 @default.
- W4205672264 cites W2102270499 @default.
- W4205672264 cites W2117939646 @default.
- W4205672264 cites W2121303536 @default.
- W4205672264 cites W2124022604 @default.
- W4205672264 cites W2138646511 @default.
- W4205672264 cites W2138977668 @default.
- W4205672264 cites W2144375152 @default.
- W4205672264 cites W2144993965 @default.
- W4205672264 cites W2158265014 @default.
- W4205672264 cites W2170803323 @default.
- W4205672264 cites W2181472284 @default.
- W4205672264 cites W2300470908 @default.
- W4205672264 cites W2341404981 @default.
- W4205672264 cites W2518959324 @default.
- W4205672264 cites W2547981998 @default.
- W4205672264 cites W2563078526 @default.
- W4205672264 cites W2600578427 @default.
- W4205672264 cites W2617798208 @default.
- W4205672264 cites W2618918413 @default.
- W4205672264 cites W2620503278 @default.
- W4205672264 cites W2705861159 @default.
- W4205672264 cites W2725528843 @default.
- W4205672264 cites W2761793335 @default.
- W4205672264 cites W2765253110 @default.
- W4205672264 cites W2782654301 @default.
- W4205672264 cites W2792093035 @default.
- W4205672264 cites W2796464660 @default.
- W4205672264 cites W2897845597 @default.
- W4205672264 cites W2902851945 @default.
- W4205672264 cites W2910096795 @default.
- W4205672264 cites W2911161668 @default.
- W4205672264 cites W2917382201 @default.
- W4205672264 cites W2944277127 @default.
- W4205672264 cites W2965229043 @default.
- W4205672264 cites W2975108253 @default.
- W4205672264 cites W2979144696 @default.
- W4205672264 cites W2983101916 @default.
- W4205672264 cites W2983289313 @default.
- W4205672264 cites W2983768869 @default.
- W4205672264 cites W2995345901 @default.
- W4205672264 cites W3000741476 @default.
- W4205672264 cites W3041520091 @default.
- W4205672264 cites W3109071173 @default.
- W4205672264 cites W3111171900 @default.
- W4205672264 cites W3115444894 @default.
- W4205672264 cites W3120318317 @default.
- W4205672264 cites W3122919571 @default.
- W4205672264 cites W3138635766 @default.
- W4205672264 cites W3146657786 @default.
- W4205672264 cites W3153329097 @default.
- W4205672264 cites W3153865902 @default.
- W4205672264 cites W3191221199 @default.
- W4205672264 cites W3194016903 @default.
- W4205672264 cites W3196297321 @default.
- W4205672264 cites W3198905519 @default.
- W4205672264 cites W983013921 @default.
- W4205672264 doi "https://doi.org/10.3389/fcell.2021.801819" @default.
- W4205672264 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35047510" @default.
- W4205672264 hasPublicationYear "2022" @default.
- W4205672264 type Work @default.
- W4205672264 citedByCount "1" @default.
- W4205672264 countsByYear W42056722642023 @default.
- W4205672264 crossrefType "journal-article" @default.
- W4205672264 hasAuthorship W4205672264A5032743069 @default.
- W4205672264 hasAuthorship W4205672264A5034780971 @default.
- W4205672264 hasAuthorship W4205672264A5039133363 @default.
- W4205672264 hasAuthorship W4205672264A5071882564 @default.
- W4205672264 hasBestOaLocation W42056722641 @default.