Read Before the Big Bang (1997) by Ernest Sternglass. The short answer is that a big piece of "dark matter" is the source of a quasar.
The "non-standard" and therefore controversial theory presented in this book says that most "dark matter" might be
“fragments of the original primeval atom [of Georges Lemaitre’s model --- please google it if you need to] ejected to large distances in the explosive ‘mini-Bang’ that had to accompany the formation of every cosmological structure [ie, every moon, planet, star, galaxy, etc.] in a Lemaitre-type model … the existence of quasars and active cores of galaxies over a wide range of distances indicated that there were apparently delayed mini-Bangs in which new galaxies were created, as Maarten Schmidt had conjectured, together with vast amounts of dust and gas ejected into space” [p.211, BTBB].
Plus: “All these results strongly suggested that some of the original fragments … from the Lemaitre [“primeval”] atom had managed to survive in the massive centers of large galaxies for very long periods … these massive electron[-positron] pair fragments were apparently ejected long after the Big Bang, as the Russian astrophysicist Novokov and the Israeli physicist Ne’eman had in fact suggested independently in the mid-1960s … their nuclei would be so massive that they would be invisible black holes, yet they could account for a dominant fraction of the total mass of the universe even today” [p.212, BTBB].
According to Sternglass’s model, these fragments of the primeval atom are “seeds of galaxies and stars”, and are spread throughout our universe, ever since the Big Bang. He says that a seed remains dormant for millions or billions of years,lurking in space, and then, after a long “count-down” process, during which the system divides in half, again + again + again, it suddenly explodes, violently. He calls this explosion a “mini-Bang”, and says that the “gamma-ray bursters” —(also called “quasars”)— which astronomers have observed since the 1970s, are in fact the “delayed mini-Bangs” which his model predicts.