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  • 1
    In: Nucleic Acids Research, Oxford University Press (OUP), Vol. 35, No. 14 ( 2007-7), p. 4845-4857
    Type of Medium: Online Resource
    ISSN: 1362-4962 , 0305-1048
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    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2007
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    SSG: 12
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  • 2
    In: Journal of Biological Chemistry, Elsevier BV, Vol. 281, No. 18 ( 2006-05), p. 12468-12474
    Type of Medium: Online Resource
    ISSN: 0021-9258
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2006
    detail.hit.zdb_id: 2141744-1
    detail.hit.zdb_id: 1474604-9
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  • 3
    In: Trends in Biochemical Sciences, Elsevier BV, Vol. 23, No. 8 ( 1998-8), p. 281-282
    Type of Medium: Online Resource
    ISSN: 0968-0004
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 1998
    detail.hit.zdb_id: 194216-5
    detail.hit.zdb_id: 1498901-3
    SSG: 12
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  • 4
    In: Genomics, Elsevier BV, Vol. 54, No. 2 ( 1998-12), p. 348-350
    Type of Medium: Online Resource
    ISSN: 0888-7543
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 1998
    detail.hit.zdb_id: 1468023-3
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  • 5
    In: The Journal of Neuroscience, Society for Neuroscience, Vol. 19, No. 15 ( 1999-08-01), p. 6457-6467
    Abstract: We report the molecular cloning and characterization of 4.1N, a novel neuronal homolog of the erythrocyte membrane cytoskeletal protein 4.1 (4.1R). The 879 amino acid protein shares 70, 36, and 46% identity with 4.1R in the defined membrane-binding, spectrin-actin–binding, and C-terminal domains, respectively. 4.1N is expressed in almost all central and peripheral neurons of the body and is detected in embryonic neurons at the earliest stage of postmitotic differentiation. Like 4.1R, 4.1N has multiple splice forms as evidenced by PCR and Western analysis. Whereas the predominant 4.1N isoform identified in brain is ∼135 kDa, a smaller 100 kDa isoform is enriched in peripheral tissues. Immunohistochemical studies using a polyclonal 4.1N antibody revealed several patterns of neuronal staining, with localizations in the neuronal cell body, dendrites, and axons. In certain neuronal locations, including the granule cell layers of the cerebellum and dentate gyrus, a distinct punctate-staining pattern was observed consistent with a synaptic localization. In primary hippocampal cultures, mouse 4.1N is enriched at the discrete sites of synaptic contact, colocalizing with the postsynaptic density protein of 95 kDa (a postsynaptic marker) and glutamate receptor type 1 (an excitatory postsynaptic marker). By analogy with the roles of 4.1R in red blood cells, 4.1N may function to confer stability and plasticity to the neuronal membrane via interactions with multiple binding partners, including the spectrin-actin–based cytoskeleton, integral membrane channels and receptors, and membrane-associated guanylate kinases.
    Type of Medium: Online Resource
    ISSN: 0270-6474 , 1529-2401
    Language: English
    Publisher: Society for Neuroscience
    Publication Date: 1999
    detail.hit.zdb_id: 1475274-8
    SSG: 12
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  • 6
    In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 2502-2502
    Abstract: Diamond Blackfan Anemia Syndrome (DBA) is a rare, congenital bone marrow failure syndrome characterized by severe macrocytic anemia, most often diagnosed during infancy. Congenital anomalies and predisposition to cancer are also important features of DBA. Establishment of a molecular diagnosis in a patient with DBA is critical to determine treatment strategies (i.e. the identification of compatible related transplant donors), as well as developing reproductive strategies for genetically at risk families. The overwhelming majority ( 〉 98.75%) of DBA patients with a molecular diagnosis have mutations in a Ribosomal Protein (RP) gene. Targeted and exome sequencing (WES) strategies can identify RP mutations in 〉 70% of DBA patients (Ulrisch et al. Am J Hum Genet. 2018). Single Nucleotide Polymorphism Comparative Genome Hybridization (SNP array) detects 〉 30 kb deletions of RP genes (which cannot be identified by sequencing) in ~10% of DBA patients (Farrar et al. Blood. 2011), leaving ~20% of DBA patients without a molecular diagnosis. We hypothesized that smaller copy number variants (CNVs - either insertions or deletions) in RP genes that are below the limit of detection of SNP array are responsible for the remaining 20%. To test this hypothesis we collected DNA with informed consent for whole genome sequencing (WGS) analysis from 6 patients who had no mutations detected by WES or SNP array. On average, we aligned ~1x1010paired end reads of 250 base pairs for each patient (~83X coverage of the genome). The aligned sequences were analyzed for CNVs using two independent software packages. Delly analyzes the two ends of each sequence read and maps them to the current human reference genome. Read ends that map further apart than expected are flagged as potential CNVs. CNVkit estimates regions of copy loss by changes in average sequencing depth. Using relatively relaxed thresholds in Delly and CNVkit we identified ~100 candidate CNVs in each patient. We filtered out CNVs present in public databases and focused on those CNVs in the region of the RP genes. This analysis identified 2-5 potential RP gene associated CNVs in each patient. We designed PCR primers that flanked each putative CNV and confirmed at least one RP CNV in all 6 patient DNAs. At this time, the CNVs in two patients are in the process of evaluation. We have validated causative RP CNVs in the other 4 patients, representing one known and three novel DBA genes. One patient had a 464 bp deletion in 3rdintron of the RPL27 gene, which is mutated in other DBA patients. We hypothesized that the deletion caused a splicing defect. Using a mini gene in which the second intron of the gamma globin gene was replaced with the 3rdintron of either the wild type or mutant RPL27 gene, we showed that the mutant exon was not spliced. An alternative hypothesis, that the deletion removed an enhancer element, was also tested, but no enhancer activity was detected. We conclude that the RPL27exon deletion causes aberrant splicing leading to an unstable RPL27 mRNA and haploinsufficiency of RPL27. A second patient had a 3.5 kb deletion at the 3' end of the RPS5 gene, including the stop codon and poly A addition site. We hypothesized that the lack of the 3' processing signals would lead to an unstable mRNA. To test this hypothesis we generated MYC and FLAG tagged wildtype and 3' deleted RPS5 genes and co-transfected them into 293T cells. Regardless of the tag used, RT-PCR analysis showed a severe reduction in the mutant mRNA levels. Western Blot analysis demonstrated that only the wild type protein was expressed, leading to the conclusion that the RPS5 truncation led to an unstable RPS5 mRNA and haploinsufficiency of RPS5. A third patient had a 28 kb deletion that removes the RPS9 gene. shRNA knockdown of RPS9 mRNA in normal CD34+ cells inhibited erythroid differentiation, leading to the conclusion that RPS9 deficiency causes DBA. Finally, we observed a 3 bp insertion in exon 6 of the RPL14 gene. The deletion adds an alanine residue to a string of 10 alanines in the wild type allele. We confirmed the insertion by targeted sequence analysis of patient DNA. Our data show that WGS can identify small CNVs that cause DBA in at least 2/3 of patients who do not have a mutation detectable by other methods. We believe that WGS analysis following targeted sequencing, SNP array and WES can identify virtually all DBA mutations. With declining WGS costs, we recommend adding WGS to the molecular diagnostic pipeline for genetic testing of DBA. Disclosures Farrar: Novartis: Research Funding. Vlachos:Novartis: Other: Steering committee member.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2019
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  • 7
    In: Journal of Clinical Investigation, American Society for Clinical Investigation, Vol. 103, No. 3 ( 1999-2-1), p. 331-340
    Type of Medium: Online Resource
    ISSN: 0021-9738
    Language: English
    Publisher: American Society for Clinical Investigation
    Publication Date: 1999
    detail.hit.zdb_id: 2018375-6
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  • 8
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 7, No. 1 ( 2017-07-12)
    Abstract: Hematopoietic ontogeny is characterized by distinct primitive and definitive erythroid lineages. Definitive erythroblasts mature and enucleate extravascularly and form a unique membrane skeleton, composed of spectrin, 4.1R-complex, and ankyrinR-complex components, to survive the vicissitudes of the adult circulation. However, little is known about the formation and composition of the membrane skeleton in primitive erythroblasts, which progressively mature while circulating in the embryonic bloodstream. We found that primary primitive erythroblasts express the major membrane skeleton genes present in similarly staged definitive erythroblasts, suggesting that the composition and formation of this membrane network is conserved in maturing primitive and definitive erythroblasts despite their respective intravascular and extravascular locations. Membrane deformability and stability of primitive erythroblasts, assayed by microfluidic studies and fluorescence imaged microdeformation, respectively, significantly increase prior to enucleation. These functional changes coincide with protein 4.1 R isoform switching and protein 4.1R-null primitive erythroblasts fail to establish normal membrane stability and deformability. We conclude that maturing primitive erythroblasts initially navigate the embryonic vasculature prior to establishing a deformable cytoskeleton, which is ultimately formed prior to enucleation. Formation of an erythroid-specific, protein 4.1R-dependent membrane skeleton is an important feature not only of definitive, but also of primitive, erythropoiesis in mammals.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
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  • 9
    In: Blood, American Society of Hematology, Vol. 113, No. 14 ( 2009-04-02), p. 3363-3370
    Abstract: Differentiating erythroid cells execute a unique gene expression program that insures synthesis of the appropriate proteome at each stage of maturation. Standard expression microarrays provide important insight into erythroid gene expression but cannot detect qualitative changes in transcript structure, mediated by RNA processing, that alter structure and function of encoded proteins. We analyzed stage-specific changes in the late erythroid transcriptome via use of high-resolution microarrays that detect altered expression of individual exons. Ten differentiation-associated changes in erythroblast splicing patterns were identified, including the previously known activation of protein 4.1R exon 16 splicing. Six new alternative splicing switches involving enhanced inclusion of internal cassette exons were discovered, as well as 3 changes in use of alternative first exons. All of these erythroid stage-specific splicing events represent activated inclusion of authentic annotated exons, suggesting they represent an active regulatory process rather than a general loss of splicing fidelity. The observation that 3 of the regulated transcripts encode RNA binding proteins (SNRP70, HNRPLL, MBNL2) may indicate significant changes in the RNA processing machinery of late erythroblasts. Together, these results support the existence of a regulated alternative pre-mRNA splicing program that is critical for late erythroid differentiation.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 10
    Online Resource
    Online Resource
    American Society of Hematology ; 2005
    In:  Blood Vol. 106, No. 11 ( 2005-11-16), p. 804-804
    In: Blood, American Society of Hematology, Vol. 106, No. 11 ( 2005-11-16), p. 804-804
    Abstract: An erythroid differentiation stage-specific alternative splicing switch involving activation of protein 4.1R exon 16 splicing is critical for the mechanical stability of the erythrocyte plasma membrane. We have previously shown that inclusion of E16 can be negatively regulated by binding of hnRNP A/B proteins to splicing silencer element(s) in E16 and that strongly decreased expression of hnRNP A/B proteins is temporally correlated with exon 16 activation. Moreover, our earlier unpublished data showed that Fox-2 is a candidate activator protein for this splicing switch, based on observations that Fox-2 binds to an intron enhancer containing three copies of UGCAUG located 96–144nt downstream of exon 16; that Fox-2 enhances exon 16 splicing in HeLa cell co-transfection assays; that mutations blocking Fox-2 binding abrogate its stimulation of exon 16 splicing; and that Fox-2 is expressed in erythroblasts. New experiments reinforce these findings by showing that knockdown of Fox-2 expression, using two different siRNA sequences, strongly inhibits exon 16 splicing efficiency. Together these results indicate that A1 and Fox-2 have antagonistic splicing activities on exon 16. To test whether antagonism involves competitive binding to the intron enhancer region, in vitro binding studies were performed using a biotinylated 39-mer RNA containing two UGCAUG elements from the intron 16 enhancer. This RNA bound strongly to in vitro-synthesized Fox-2 protein, as shown by pull down assays followed by Western blot analysis. hnRNP A1 was also bound to this intronic enhancer region. UGCAUG mutations eliminated Fox-2 binding to the RNA, but did not block A1 binding; such mutants exhibited significantly lower exon 16 splicing efficiency. Most importantly, a competitive binding experiment showed that Fox-2 protein reduces A1 binding to the enhancer RNA in a concentration-dependent manner. Together with previous findings by ourselves and others, these results suggest that exon 16 splicing is governed by two pairs of antagonist interactions: (1) in exon 16, the silencer protein hnRNP A1 antagonizes SF2/ASF activity; and (2) in the downstream intron, hnRNP A1 antagonizes the Fox-2 activator protein. Exon 16 is known to be expressed in brain and muscle in addition to late erythroid cells. We propose that this regulatory network may provide independent mechanisms for exon 16 activation in different cell types by altering the relative abundance of these activators and inhibitors, and thereby the relative efficiency of spliceosome recruitment as the first step in the exon inclusion pathway. To test the mechanism of Fox-2 activity, we are attempting to isolate physiologically relevant co-factors that interact with Fox-2. A recombinant Fox-2 protein containing a biotinylation tag has been expressed in HeLa cells. In transfected cells, the biotin-tagged Fox-2 is properly localized to the nucleus, and retains the ability to enhance 4.1 exon 16 splicing in standard splicing assays as judged by RT/PCR analysis of mRNA products that include or exclude exon 16. Streptavidin pull-down assays should facilitate isolation of Fox-2 complexes and ultimately provide novel insights into the mechanism of this critical splicing switch during erythroid differentiation.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2005
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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