{"title":"对 \"平行单细胞分析揭示的老龄小鼠卵母细胞转录组变异增加和局部 DNA 甲基化变化 \"的更正。","authors":"","doi":"10.1111/acel.14364","DOIUrl":null,"url":null,"abstract":"<p>Castillo-Fernandez, J., Herrera-Puerta, E., Demond, H., Clark, S.J., Hanna, C.W., Hemberger, M. and Kelsey, G. (2020), Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis. <i>Aging Cell</i>, 19: e13278. https://doi.org/10.1111/acel.13278.</p><p>In the assignment of individual GV oocytes as having NSN or SN chromatin configuration based on scRNA-Seq profiles, we used a published gene list, in which we now believe NSN and SN samples may have been mis-assigned. We have now generated our own scRNA-Seq datasets of NSN and SN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1), which now enables us to correctly reassign NSN and SN status of GV oocytes in this paper. This necessitates the following corrections:</p><p>In the Results sections 2.1, 2.2, 2.4, 2.5: the terms NSN and SN were used incorrectly as a result of the mis-assignment. The corrected sentences are provided below:</p><p>\n <b>Section 2.1</b>\n </p><p>“To assign chromatin configuration states in our data set, we classified the 87 oocytes according to the level of expression of genes reported to show at least a two-fold overexpression in NSN oocytes compared to SN oocytes (data reanalysed from Ma et al., 2013). Twenty oocytes were found to express these transcripts at a higher level and were classified transcriptionally as NSN (Figure 1d).”</p><p>“Out of the 20 NSN oocytes, twelve corresponded to the young group and eight to the aged one.”</p><p>\n <b>Section 2.2</b>\n </p><p>“Clusters 1 and 2 comprised only SN aged oocytes; Cluster 3 mainly comprised young SN oocytes plus a small number of NSN oocytes; and Cluster 4 purely NSN oocytes regardless of age, which were closer to young SN oocytes (Cluster 3) than to aged SN oocytes (Clusters 1 and 2).”</p><p>“Following this assumption, differential expression was tested using cluster number as a continuous variable to identify transcripts that change in abundance from old transcriptionally like SN oocytes to young transcriptionally like SN oocytes and, lastly, to NSN oocytes (both young and aged).”</p><p>“To exclude that the observed differences in transcript abundance of maternal effect genes were an effect solely of chromatin configuration, the analysis was repeated using only the subset of oocytes assigned as SN and the enrichment for maternal effect genes was also observed (Figure S1).”</p><p>\n <b>Section 2.4</b>\n </p><p>“Interestingly, all of the predicted NSN aged oocytes were also defined as young-like oocytes, although the young-like group also contained some aged oocytes assigned as SN (Figure 2e).”</p><p>\n <b>Section 2.5</b>\n </p><p>“However, when examining differences between assigned chromatin configurations, lower CpG methylation was observed in NSN-classified oocytes both globally (Wilcoxon test; <i>p</i> = 1.4 × 10<sup>−5</sup>) and in all three categories of genomic features (Figure 3d,e).”</p><p>The following statement in Section 2.1 should be disregarded, “However, we also observed that the number of SN oocytes was low compared to the numbers reported in the literature, especially in our aged group in which more than 80% of oocytes are expected to be SN. It is likely that the classification obtained using gene expression as a proxy does not reflect the actual chromatin state, but instead suggests that most aged oocytes expected to be SN express an immature NSN-like transcriptome.”</p><p>In Section 2.2, “Cluster 1” and “Cluster 4” should be transposed in the following sentence: “This spatial relationship suggested a trajectory from an immature NSN transcriptome (Cluster 4) to a mature SN one (Cluster 1).”</p><p>The following statement should be added to the Methods in section 4.6: “NSN and SN status of GV oocytes was inferred from the scRNA-seq data using a list of genes identified as differentially expressed in NSN versus SN oocytes from Ma et al. (2013). Note, however, that we believe the NSN and SN samples in Ma et al. (2013) were mis-assigned, such that genes overexpressed in SN oocytes should refer to genes overexpressed in NSN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1).”</p><p>The following wording in the Discussion is no longer correct and should be disregarded: “We scored a surprisingly high proportion of oocytes from older females as NSN from their transcriptomes at an age when the ovary should contain few NSN oocytes (Zuccotti et al., 1995). On the other hand, it has been reported that more than a quarter of GV oocytes in old female mice cannot be classified as either NSN or SN, but display anomalous chromatin configurations (Manosalva & González, 2010). Together, these observations suggest that aged oocytes may have undergone the NSN-SN transition, but imperfectly and without the full transcriptome maturation that ensures developmental competence.”</p><p>The reassignment of the inferred NSN and SN status of oocytes does not otherwise alter the findings of the paper.</p><p>We apologize for these errors.</p>","PeriodicalId":55543,"journal":{"name":"Aging Cell","volume":"23 11","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561658/pdf/","citationCount":"0","resultStr":"{\"title\":\"Correction to ‘Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis’\",\"authors\":\"\",\"doi\":\"10.1111/acel.14364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Castillo-Fernandez, J., Herrera-Puerta, E., Demond, H., Clark, S.J., Hanna, C.W., Hemberger, M. and Kelsey, G. (2020), Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis. <i>Aging Cell</i>, 19: e13278. https://doi.org/10.1111/acel.13278.</p><p>In the assignment of individual GV oocytes as having NSN or SN chromatin configuration based on scRNA-Seq profiles, we used a published gene list, in which we now believe NSN and SN samples may have been mis-assigned. We have now generated our own scRNA-Seq datasets of NSN and SN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1), which now enables us to correctly reassign NSN and SN status of GV oocytes in this paper. This necessitates the following corrections:</p><p>In the Results sections 2.1, 2.2, 2.4, 2.5: the terms NSN and SN were used incorrectly as a result of the mis-assignment. The corrected sentences are provided below:</p><p>\\n <b>Section 2.1</b>\\n </p><p>“To assign chromatin configuration states in our data set, we classified the 87 oocytes according to the level of expression of genes reported to show at least a two-fold overexpression in NSN oocytes compared to SN oocytes (data reanalysed from Ma et al., 2013). Twenty oocytes were found to express these transcripts at a higher level and were classified transcriptionally as NSN (Figure 1d).”</p><p>“Out of the 20 NSN oocytes, twelve corresponded to the young group and eight to the aged one.”</p><p>\\n <b>Section 2.2</b>\\n </p><p>“Clusters 1 and 2 comprised only SN aged oocytes; Cluster 3 mainly comprised young SN oocytes plus a small number of NSN oocytes; and Cluster 4 purely NSN oocytes regardless of age, which were closer to young SN oocytes (Cluster 3) than to aged SN oocytes (Clusters 1 and 2).”</p><p>“Following this assumption, differential expression was tested using cluster number as a continuous variable to identify transcripts that change in abundance from old transcriptionally like SN oocytes to young transcriptionally like SN oocytes and, lastly, to NSN oocytes (both young and aged).”</p><p>“To exclude that the observed differences in transcript abundance of maternal effect genes were an effect solely of chromatin configuration, the analysis was repeated using only the subset of oocytes assigned as SN and the enrichment for maternal effect genes was also observed (Figure S1).”</p><p>\\n <b>Section 2.4</b>\\n </p><p>“Interestingly, all of the predicted NSN aged oocytes were also defined as young-like oocytes, although the young-like group also contained some aged oocytes assigned as SN (Figure 2e).”</p><p>\\n <b>Section 2.5</b>\\n </p><p>“However, when examining differences between assigned chromatin configurations, lower CpG methylation was observed in NSN-classified oocytes both globally (Wilcoxon test; <i>p</i> = 1.4 × 10<sup>−5</sup>) and in all three categories of genomic features (Figure 3d,e).”</p><p>The following statement in Section 2.1 should be disregarded, “However, we also observed that the number of SN oocytes was low compared to the numbers reported in the literature, especially in our aged group in which more than 80% of oocytes are expected to be SN. It is likely that the classification obtained using gene expression as a proxy does not reflect the actual chromatin state, but instead suggests that most aged oocytes expected to be SN express an immature NSN-like transcriptome.”</p><p>In Section 2.2, “Cluster 1” and “Cluster 4” should be transposed in the following sentence: “This spatial relationship suggested a trajectory from an immature NSN transcriptome (Cluster 4) to a mature SN one (Cluster 1).”</p><p>The following statement should be added to the Methods in section 4.6: “NSN and SN status of GV oocytes was inferred from the scRNA-seq data using a list of genes identified as differentially expressed in NSN versus SN oocytes from Ma et al. (2013). Note, however, that we believe the NSN and SN samples in Ma et al. (2013) were mis-assigned, such that genes overexpressed in SN oocytes should refer to genes overexpressed in NSN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1).”</p><p>The following wording in the Discussion is no longer correct and should be disregarded: “We scored a surprisingly high proportion of oocytes from older females as NSN from their transcriptomes at an age when the ovary should contain few NSN oocytes (Zuccotti et al., 1995). On the other hand, it has been reported that more than a quarter of GV oocytes in old female mice cannot be classified as either NSN or SN, but display anomalous chromatin configurations (Manosalva & González, 2010). Together, these observations suggest that aged oocytes may have undergone the NSN-SN transition, but imperfectly and without the full transcriptome maturation that ensures developmental competence.”</p><p>The reassignment of the inferred NSN and SN status of oocytes does not otherwise alter the findings of the paper.</p><p>We apologize for these errors.</p>\",\"PeriodicalId\":55543,\"journal\":{\"name\":\"Aging Cell\",\"volume\":\"23 11\",\"pages\":\"\"},\"PeriodicalIF\":7.8000,\"publicationDate\":\"2024-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561658/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aging Cell\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/acel.14364\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aging Cell","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/acel.14364","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0
摘要
Castillo-Fernandez, J., Herrera-Puerta, E., Demond, H., Clark, S.J., Hanna, C.W., Hemberger, M. and Kelsey, G. (2020), Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis.Aging Cell, 19: e13278. https://doi.org/10.1111/acel.13278.In 基于 scRNA-Seq 图谱将单个 GV 卵母细胞分配为 NSN 或 SN 染色质结构时,我们使用了已公布的基因列表,现在我们认为 NSN 和 SN 样本可能被错误分配。我们现在已经生成了自己的 NSN 和 SN 卵母细胞 scRNA-Seq 数据集 (https://doi.org/10.21203/rs.3.rs-4901993/v1),这使我们能够在本文中正确地重新分配 GV 卵母细胞的 NSN 和 SN 状态。因此,有必要进行以下更正:在结果部分 2.1、2.2、2.4 和 2.5 中:由于错误的分配,NSN 和 SN 这两个术语使用不当。更正后的句子如下: 第 2.1 节 "为了分配数据集中的染色质构型状态,我们根据基因的表达水平对 87 个卵母细胞进行了分类,据报道,与 SN 卵母细胞相比,NSN 卵母细胞中的基因至少过表达 2 倍(数据重新分析自 Ma 等人,2013 年)。""在 20 个 NSN 卵母细胞中,12 个属于年轻组,8 个属于老年组。 第 2.2 节 "群组 1 和 2 只包括 SN 老年卵母细胞;群组 3 主要包括年轻的 SN 卵母细胞和少量 NSN 卵母细胞;群组 4 则纯粹是 NSN 卵母细胞,不分年龄,与年轻的 SN 卵母细胞(群组 3)相比,更接近于 SN 老年卵母细胞(群组 1 和 2)。""根据这一假设,使用簇数作为连续变量对差异表达进行了测试,以确定转录本的丰度从类似于 SN 的老年卵母细胞到类似于 SN 的年轻卵母细胞,最后到 NSN 卵母细胞(包括年轻卵母细胞和老年卵母细胞)的变化。""为了排除所观察到的母体效应基因转录本丰度的差异仅仅是染色质构型的影响,仅使用被分配为 SN 的卵母细胞子集重复分析,也观察到了母体效应基因的富集(图 S1)"。 第 2.4 节 "有趣的是,所有预测的 NSN 老年卵母细胞也被定义为类幼卵母细胞,尽管类幼组也包含一些被分配为 SN 的老年卵母细胞(图 2e)"。 第 2.5 节 "然而,当研究指定染色质配置之间的差异时,在 NSN 分类卵母细胞中观察到较低的 CpG 甲基化(Wilcoxon 检验;p = 1.4 × 10-5)和所有三类基因组特征(图 3d、e)。"第 2.1 节中的以下表述应不予考虑:"然而,我们也观察到,与文献报道的数量相比,SN 卵母细胞的数量较少,特别是在我们的高龄组中,预计 80% 以上的卵母细胞为 SN 卵母细胞。以基因表达为代表的分类可能并不反映实际的染色质状态,而是表明大多数预期为SN的高龄卵母细胞表达的是不成熟的NSN样转录组。"第2.2节中,"群组1 "和 "群组4 "应在以下句子中对调:在第 4.6 节的 "方法 "中应添加以下说明:"使用 Ma 等人(2013 年)提供的在 NSN 和 SN 卵母细胞中差异表达的基因列表,从 scRNA-seq 数据中推断 GV 卵母细胞的 NSN 和 SN 状态。但请注意,我们认为 Ma 等人(2013 年)中的 NSN 和 SN 样本分配有误,因此在 SN 卵母细胞中过度表达的基因应指在 NSN 卵母细胞中过度表达的基因 (https://doi.org/10.21203/rs.3.rs-4901993/v1)。"讨论中的以下措辞已不再正确,应不予考虑:"我们从年龄较大的雌性卵母细胞的转录组中得出的 NSN 比例之高令人惊讶,而在这个年龄段,卵巢中的 NSN 卵母细胞应该很少(Zuccotti 等人,1995 年)。另一方面,据报道,在老年雌性小鼠的 GV 卵母细胞中,超过四分之一的卵母细胞既不能被归类为 NSN,也不能被归类为 SN,而是显示出异常的染色质构型(Manosalva & González, 2010)。总之,这些观察结果表明,老年卵母细胞可能已经经历了 NSN-SN 过渡,但并不完全,也没有完全转录组成熟以确保发育能力。
Correction to ‘Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis’
Castillo-Fernandez, J., Herrera-Puerta, E., Demond, H., Clark, S.J., Hanna, C.W., Hemberger, M. and Kelsey, G. (2020), Increased transcriptome variation and localised DNA methylation changes in oocytes from aged mice revealed by parallel single-cell analysis. Aging Cell, 19: e13278. https://doi.org/10.1111/acel.13278.
In the assignment of individual GV oocytes as having NSN or SN chromatin configuration based on scRNA-Seq profiles, we used a published gene list, in which we now believe NSN and SN samples may have been mis-assigned. We have now generated our own scRNA-Seq datasets of NSN and SN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1), which now enables us to correctly reassign NSN and SN status of GV oocytes in this paper. This necessitates the following corrections:
In the Results sections 2.1, 2.2, 2.4, 2.5: the terms NSN and SN were used incorrectly as a result of the mis-assignment. The corrected sentences are provided below:
Section 2.1
“To assign chromatin configuration states in our data set, we classified the 87 oocytes according to the level of expression of genes reported to show at least a two-fold overexpression in NSN oocytes compared to SN oocytes (data reanalysed from Ma et al., 2013). Twenty oocytes were found to express these transcripts at a higher level and were classified transcriptionally as NSN (Figure 1d).”
“Out of the 20 NSN oocytes, twelve corresponded to the young group and eight to the aged one.”
Section 2.2
“Clusters 1 and 2 comprised only SN aged oocytes; Cluster 3 mainly comprised young SN oocytes plus a small number of NSN oocytes; and Cluster 4 purely NSN oocytes regardless of age, which were closer to young SN oocytes (Cluster 3) than to aged SN oocytes (Clusters 1 and 2).”
“Following this assumption, differential expression was tested using cluster number as a continuous variable to identify transcripts that change in abundance from old transcriptionally like SN oocytes to young transcriptionally like SN oocytes and, lastly, to NSN oocytes (both young and aged).”
“To exclude that the observed differences in transcript abundance of maternal effect genes were an effect solely of chromatin configuration, the analysis was repeated using only the subset of oocytes assigned as SN and the enrichment for maternal effect genes was also observed (Figure S1).”
Section 2.4
“Interestingly, all of the predicted NSN aged oocytes were also defined as young-like oocytes, although the young-like group also contained some aged oocytes assigned as SN (Figure 2e).”
Section 2.5
“However, when examining differences between assigned chromatin configurations, lower CpG methylation was observed in NSN-classified oocytes both globally (Wilcoxon test; p = 1.4 × 10−5) and in all three categories of genomic features (Figure 3d,e).”
The following statement in Section 2.1 should be disregarded, “However, we also observed that the number of SN oocytes was low compared to the numbers reported in the literature, especially in our aged group in which more than 80% of oocytes are expected to be SN. It is likely that the classification obtained using gene expression as a proxy does not reflect the actual chromatin state, but instead suggests that most aged oocytes expected to be SN express an immature NSN-like transcriptome.”
In Section 2.2, “Cluster 1” and “Cluster 4” should be transposed in the following sentence: “This spatial relationship suggested a trajectory from an immature NSN transcriptome (Cluster 4) to a mature SN one (Cluster 1).”
The following statement should be added to the Methods in section 4.6: “NSN and SN status of GV oocytes was inferred from the scRNA-seq data using a list of genes identified as differentially expressed in NSN versus SN oocytes from Ma et al. (2013). Note, however, that we believe the NSN and SN samples in Ma et al. (2013) were mis-assigned, such that genes overexpressed in SN oocytes should refer to genes overexpressed in NSN oocytes (https://doi.org/10.21203/rs.3.rs-4901993/v1).”
The following wording in the Discussion is no longer correct and should be disregarded: “We scored a surprisingly high proportion of oocytes from older females as NSN from their transcriptomes at an age when the ovary should contain few NSN oocytes (Zuccotti et al., 1995). On the other hand, it has been reported that more than a quarter of GV oocytes in old female mice cannot be classified as either NSN or SN, but display anomalous chromatin configurations (Manosalva & González, 2010). Together, these observations suggest that aged oocytes may have undergone the NSN-SN transition, but imperfectly and without the full transcriptome maturation that ensures developmental competence.”
The reassignment of the inferred NSN and SN status of oocytes does not otherwise alter the findings of the paper.
期刊介绍:
Aging Cell, an Open Access journal, delves into fundamental aspects of aging biology. It comprehensively explores geroscience, emphasizing research on the mechanisms underlying the aging process and the connections between aging and age-related diseases.