摘要翻译：
ALL-1基因通过与其他基因融合或通过内部重排直接参与5-10%的ALLs和AMLs。利用DNA微阵列技术测定ALL-1重排的ALLs和AMLs的表达谱。这些特征将这些肿瘤与其他ALLs和AMLS区分开来。ALL-1相关肿瘤尤其是ALLs的表达模式涉及癌基因、抑癌基因、抗凋亡基因、耐药基因等，并与肿瘤的侵袭性密切相关。将具有ALL-1重排和不具有ALL-1重排的ALLs的表达差异的基因进一步分为几组，从而将ALL-1相关的ALLs分为两个亚类。此外，部分重复ALL-1的AMLs在表达模式上与ALL-1与其他基因融合的AMLs有所不同。这里所描述的广泛分析引起了人们对可能在发病机制中有直接作用的基因的关注。
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英文标题：
《Expression profiles of acute lymphoblastic and myeloblastic leukemias
  with ALL-1 rearrangements》
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作者：
T. Rozovskaia, O. Ravid-Amir, S. Tillib, G. Getz, E. Feinstein, H.
  Agrawal, A. Nagler, E. Rappeport, I. Issaeva, Y. Matsuo, U. R. Kees, T.
  Lapidot, F. Lo Coco, R. Foa, A. Mazo, T. Nakamura, C.M. Croce, G. Cimino, E.
  Domany and E. Canaani
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最新提交年份：
2005
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Quantitative Methods        定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  The ALL-1 gene is directly involved in 5-10% of ALLs and AMLs by fusion to other genes or through internal rearrangements. DNA microarrays were utilized to determine expression profiles of ALLs and AMLs with ALL-1 rearrangements. These profiles distinguish those tumors from other ALLs and AMLs. The expression patterns of ALL-1-associated tumors, in particular ALLs, involve oncogenes, tumor suppressors, anti apoptotic genes, drug resistance genes etc., and correlate with the aggressive nature of the tumors. The genes whose expression differentiates between ALLs with and without ALL-1 rearrangement were further divided into several groups enabling separation of ALL-1- associated ALLs into two subclasses. Further, AMLs with partial duplication of ALL-1 vary in their expression pattern from AMLs in which ALL-1 had undergone fusion to other genes. The extensive analysis described here draws attention to genes which might have a direct role in pathogenesis.
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PDF链接：
https://arxiv.org/pdf/q-bio/0511016